Big Data Consultant Resume Samples
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Big Data Consultant Resume Samples
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NK
N Kuhic
Nikko
Kuhic
80826 Cartwright Tunnel
San Francisco
CA
+1 (555) 559 7589
80826 Cartwright Tunnel
San Francisco
CA
Phone
p
+1 (555) 559 7589
Experience
Experience
Chicago, IL
Big Data Consultant
Chicago, IL
Grimes-Schowalter
Chicago, IL
Big Data Consultant
- Design & implement work flows using Unix / Linux scripting to perform data ingestion and ETL on Big Data platform
- Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets
- Involving in sales cases of Information Management work
- Work independently, or as part of a team, to design and develop Big Data solutions
- Provide hands - on leadership for the design and development of ETL data flows using Big Data Ecosystem tools and technologies
- Perform business development (to grow Ericsson business and Consulting Services)
- Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
San Francisco, CA
Modern Data Architecture & Big Data Consultant
San Francisco, CA
Thompson, Mante and Terry
San Francisco, CA
Modern Data Architecture & Big Data Consultant
- Assist business development teams with pre-sales activities and RFPs
- Work as part of a team, to design and develop cloud data solutions
- Provide technical direction and oversight to cloud implementation teams
- Research, analyze, recommend and select technical approaches for solving difficult and challenging development and integration problems
- Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
- Define Cloud Data strategies, including designing multi-phased implementation roadmaps
- For AWS, S3, Redshift, Elastic Map Reduce (EMR) a plus
present
Houston, TX
Senior Big Data Consultant
Houston, TX
Murray-Sipes
present
Houston, TX
Senior Big Data Consultant
present
- Playing a key contributor role in on-site Big Data consulting projects requiring up to 75% travel
- Analyzing application portfolios, identifying dependencies & common infrastructure platform components, and assessing migration feasibility
- Cost/Benefit modeling and creating compelling business cases for migration
- Building sound business relationships with client counterparts in support of Airline Solutions Operations Research consulting projects
- Generating AWS migration roadmaps and driving buy-in across complex organization structures
- Collaborating with consulting and managed services partners to build and execute plans
- Strong track record of implementing AWS services in a variety of distributed computing environments
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
The University of Texas at Austin
Bachelor’s Degree in Computer Science
Skills
Skills
- Strong verbal and written communications skills and ability to lead effectively across organizations
- Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
- BI Professional with Expert Knowledge of database schemas, data modeling, visualization and ETL
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
- Strongproblem solving and troubleshooting skills with the ability to exercise maturejudgment
- Knowledge of data, master data and metadata related standards, processes and technology
- Abilityto work independently and manage multiple task assignments
- Highly technical and analytical, possessing 5+ years of IT platform implementation experience
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
- Strongoral and written communication skills, including presentation skills (MS Visio,MS PowerPoint)
13 Big Data Consultant resume templates
Read our complete resume writing guides
1
Big Data Consultant Resume Examples & Samples
- Become a subject matter expert and trusted advisor in the analytics discipline
- Create algorithms to extract information from large data sets
- Identify emergent trend and opportunities for future client growth and development
- Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations
- Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to for taking business decisions
- Collaborate with others in the organization to develop new ideas and brainstorm potential solutions
- 5+ years’ experience with real data
- Innovative and strong analytical and algorithmic problem solvers
- Proficiency with statistical analysis tools (e.g. R, SAS, SPSS)
- Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification)
- Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms
- Expert at data visualization and presentation
- Experience with big data tools (e.g., Hadoop, Autonomy, Vertica, Haven)
- Excellent critical thinking skills, combined with the ability to present findings clearly and compellingly verbally and in written form
2
Experienced Big Data Consultant Resume Examples & Samples
- Experience with Big Data and Business Analytics use cases in one or more dedicated industries
- Proven experience with Big Data technologies, e.g. Apache Hadoop, NoSQL, Cloud Data Management
- Strong communication skills and business acumen, including a feeling for data visualization and experience in presenting complex information to business stakeholders in a compelling way
- At least 2 years experience in projects in a data warehouse environment and in existing and emerging data integration approaches
- At least 2 years experience in a consulting or analyst role
- At least 2 years experience in projects using emerging Big Data technologies such as Apache Hadoop, NoSQL or Cloud Data Management technologies
- At least 2 years experience in Traditional Data Warehousing and BI
3
Big Data Consultant & Architects Resume Examples & Samples
- At least 5 years experience in / with Big Data projects using Hadoop, Map Reduce or NoSql technologies
- At least 5 years experience in across systems integration, information management business analytics and architecture
- At least 5 years experience in data warehouse environment and knowledge of existing and emerging data integration approaches
- At least 5 years experience in solution architecture in traditional information management
- At least 3 years experience in / with integration of Big Data to a traditional data architecture
- At least 3 years experience in data architecture of designing and developing logical data models
- At least 3 years experience in design with programming on high-scale or distributed systems (such as Hadoop)
- At least 3 years experience in / with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar
4
Big Data Consultant Resume Examples & Samples
- Strong software engineering/development background (in Java or C#)
- Experience of leading small engineering teams
- XML processing, customised ETL solutions)
- Experience of: Pivotal (PHD, Hawq, Greenplum, SpringXD) Hortonworks (preferably certified)
- Unix/ Linux experience
- BSc/MSc/Phd in Engineering/CS, Sciences or Mathematics
5
Big Data Consultant Resume Examples & Samples
- Bachelor’s degree in Math, Economics, Statistics, Computer Science, or relevant industry experience
- Intermediate knowledge of SQL preferably in MS SQL Server or PLSQL Developer
- Experience in dynamically pulling, manipulating, and cleaning large data sets
- Advanced skills in MS Excel ie. Pivots, Statistical Measures, Charts, Graphs, etc
- Ability to manage multiple competing tasks and deadlines
- High levels of emotional intelligence
- Strong communication skills both written and oral
- Self-Starter and the ability to work independently
- Experience with programming languages such as C#, VBA, and Python
- Experience using and developing in MS Access
- Prior experience creating and developing SSIS packages
- Prior healthcare experience
- Knowledge of coordination of benefits
6
Professional Services Big Data Consultant Resume Examples & Samples
- Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use the services such as (EC2), Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR)
- Delivery - Engagements include short on-site projects support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using the cloud services
- These professional services engagements will focus on customer solutions such as HPC, batch data processing, Big Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights
- Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects
- Insights - Work with the engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of the cloud services
- Push the envelope - Cloud computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Big Data / Business Intelligence cloud computing
- Provide advisory support around
7
Senior Big Data Consultant Resume Examples & Samples
- Organization design/re-design
- Commercial planning, alliances, sales & channel optimization
- Playing a key contributor role in on-site Big Data consulting projects requiring up to 75% travel
- Leading effort in evaluating customer requirements
- Designing functional/logical models
- Developing software for data management (access, load, manipulation etc.), as well as Map Reduce, Pig/Hive scripts, support apps (UDFs and scripts for job scheduling) and test plans
- Managing solution development in collaboration with both internal and external teams
- Functioning as an experienced Big Data resource within the Airline Solutions Consulting Team
- Ph.D. degree in Computer Science or closely related field required. Dual/Previous degree in Computer Science and Operations Research a big plus
- Five plus years of consulting or client services background. This experience will embrace the delivery of decision support systems or business intelligence tools based on Big Data technologies (Hadoop/Pig/Hive), ETL, and data visualization (Tableau expertise highly desirable)
- Solid knowledge of RDBMS (Oracle/Teradata/MySQL)
- Ability to develop numerical algorithms in a procedural language (Java strongly preferred)
- Proficiency in Unix/Linux as well as scripting languages (Shell/Perl/Python)
- Fundamental understanding of business and the ability to translate client business issues into meaningful model representations
- Multi-lingual capabilities and extensive international experience are highly desired
- A self-starter who is highly motivated
8
Big Data Consultant Resume Examples & Samples
- Operations research
- Solution integration
- Playing a contributor role in on-site Operations Research consulting projects requiring up to 75% travel
- Evaluating customer requirements and collaborating with both internal and external teams in solution development
- Designing functional/logical models, developing software for optimization and data management (access, load, manipulation etc.) including Map Reduce, Pig/Hive scripts, support apps (UDFs and scripts for job scheduling) and test plans
- Providing operational support and software testing help
- Documenting design and implementation of underlying processes
- Preparing project plans, issue/change management, and source code management
9
Big Data Consultant Resume Examples & Samples
- Consultantsfunction as integrators between business needs and technology solutions,helping to create technology solutions to meet clients’ business needs.Consultants gain exposure to multiple industries while demonstrating anawareness of the full breadth of services offered by Deloitte Consulting LLP
- Responsibilitiesinclude defining systems strategy, developing system requirements, designing,prototyping, and testing custom technology solutions, and supporting systemimplementation
- 2+years of relevant technology architecture consulting or industry experience toinclude experience in Information delivery, Analytics and Business Intelligencebased on data from hybrid of Hadoop Distributed File System (HDFS),non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
- Atleast 1 year hands-on working experience with one or more of the followingtechnologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari,MapReduce and R
- Bachelor’sDegree or 4 years equivalent professional experience
- Understandingof the benefits of data warehousing, data architecture, data quality processes,data warehousing design and implementation, table structure, fact and dimensiontables, logical and physical database design, data modeling, reporting processmetadata, and ETL processes
- Experiencedesigning and implementing reporting and visualization for unstructured andstructured data sets
- Experiencedesigning and developing data cleansing routines utilizing typical data qualityfunctions involving standardization, transformation, rationalization, linkingand matching
- Knowledgeof data, master data and metadata related standards, processes and technology
- Experienceworking with multi-Terabyte data sets
- Abilityto work independently and manage multiple task assignments
- Strongoral and written communication skills, including presentation skills (MS Visio,MS PowerPoint)
- An advanced degree in the area ofspecialization is preferred
10
Big Data Consultant Resume Examples & Samples
- Data Management and Architecture
- Consultants function as integrators between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs. Consultants gain exposure to multiple industries while demonstrating an awareness of the full breadth of services offered by Deloitte Consulting LLP
- Responsibilities include defining systems strategy, developing system requirements, designing, prototyping, and testing custom technology solutions, and supporting system implementation
- 2+ years of relevant technology architecture consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
- At least 1 year hands-on working experience with one or more of the following technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R
- Willingness to travel to client locations (80%+, typically M-TH)
- Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
- Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
- Experience working with commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR)
11
Big Data Consultant Resume Examples & Samples
- BI Professional with Expert Knowledge of database schemas, data modeling, visualization and ETL
- Expert Knowledge in Hadoop, Hive, PIG, Java, MSBI, SSAS, Azure, UNIX, Power BI, Qlickview, Vertica, Informatica, SQL Server, Oracle
- Experience in leading teams, working independently with the business at an enterprise level
- Deep Understanding of Software Development (Object), Development Tools, Test methodologies, and testing tools, Configuration Management
- Agile, SDLC (Software Development Life Cycle) including business process analysis, design, configuration, testing, implementation, training, documentation, etc
- Ability to analyze solutions, formulate designs, stand up POC’s and support development efforts
- Ability to interface with all levels in the organization and all levels of staff in a geographically dispersed teams
- Evaluate architectural alternatives with the business and IT and select the desirable alternatives for the business and platform. Leverage best practices and solutions across regions. Incorporate industry and HP best practices in the architectural design
- Follow project management methodology and ensure the timely delivery of architectural designs
- SME in one or more of the business areas like finance, Supply chain, Marketing, Customer Support
12
Big Data Consultant Resume Examples & Samples
- Participating in vendor landscape and technology assessments (covering for example Hadoop, Map Reduce, NoSQL etc.)
- Executing proof of concepts to assess the value of Big Data use cases
- Building and implementing an architecture roadmap for next generation Big Data Analytics solutions for our clients
- Participating in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment
- Involving in sales cases of Information Management work
- Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets
- Working in collaboration with Accenture's global network of experts and delivery centers
- A Bachelor's or Master's Degree
- 4+ years of strong architecture experience
- Understanding of traditional ETL tools, RDBMS, SQL
- Experience on Big Data and NoSQL technologies
- Building non-relational data models on NoSQL data stores
- Building applications using NoSQL data store such as Hbase, Cassandra, Vertica etc
- Delivering an operational Big Data solution using one or more of the following technologies (Hadoop, Cassandra, GreenPlum, Vertica, Aster, Hortonworks, Cloudera)
- Hands-on MapReduce coding, including Java, Python, Pig programming
- Ability to work in diverse teams
- Excellent written and oral/presentation skills in English
- Strong interest in growing your own technology skills
13
Big Data Consultant Resume Examples & Samples
- Define Big Data strategy, including designing multi-phased implementation roadmaps
- Work independently, or as part of a team, to design and develop Big Data solutions
- Data wrangling of heterogeneous data and explore and discover new insights
- Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
- Help estimate and plan projects
- Proficiency in SQL, NoSQL, and relational database design and development
- Enterprise architecture experience
- Strong verbal and written communication skills; strong time-management and organizational skills
14
Big Data Consultant Resume Examples & Samples
- Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS servicessuch as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift
- 5+ years’ experience of IT platform implementation in a highly technical and analytical role
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
15
Senior Big Data Consultant Resume Examples & Samples
- Current hands-on implementation experience required; individual contributors only need apply
- BS level technical degree required; Computer Science or Math background preferred
- Demonstrated industry leadership in the fields of database, data warehousing or data sciences
16
Big Data Consultant Resume Examples & Samples
- Solid Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings
- Superior Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services
- Demonstrated ability to think strategically about the business, service offerings, and technical challenges in an enterprise environment
17
Big Data Consultant Resume Examples & Samples
- BA/BS degree or equivalent experience
- Experience working directly, in-person and remotely with customers regarding standard methodologies, project management and risk mitigation
- Experience with database and analytical technologies in the industry such as MPP databases, NoSQL storage, Data Warehouse design, BI reporting and/or Dashboard development
- Experience working with Apache Hadoop and/or tools such as Pig and Hive
- Current hands-on implementation experience
- Computer Science or Math background degree desired
- Hands on experience leading large-scale global data warehousing and analytics projects desired
- Demonstrated industry leadership in the fields of database, data warehousing or data sciences desired
- Implementation and tuning experience specifically using Amazon Elastic Map Reduce and/or tools such as Pig and Hive desired
- Track record of implementing AWS services in a variety of distributed computing, enterprise environments desired
18
Senior Big Data Consultant Resume Examples & Samples
- Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Machine Learning, Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift
- Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Big Data / Business Intelligence cloud computing
- Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Should be able to interact with Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data
- Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
- Highly technical and analytical, possessing 5 or more years of IT platform implementation experience
- Current hands-on implementation experience required
- Skills in streaming architectures: Kafka, Storm etc
19
Big Data Consultant Resume Examples & Samples
- Function as integrators between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
- Defining systems strategy, developing system requirements, designing, prototyping, and testing custom technology solutions, and supporting system implementation
- 1 year of hands on experience with data lake implementations, core modernization and data ingestion
- 1 year of hands on experience designing and implementing data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters
- 1 year of hands on experience with data integration products like Informatica Power Center Big Data Edition (BDE), IBM BigInsights, Talend etc
20
Big Data Consultant Resume Examples & Samples
- Continuously identify innovate profitable business opportunities
- Analyze customer and user offerings, market scenarios, customer go to market strategy
- Bachelor's degree in ICT or Telecommunications or in relevant discipline from any reputed Institution
- At least 5 years of working experience in Customer Experience/Big Data area
- Having BSS Project Experience
- Self-driven and result oriented
- Strong sense of responsibility and accountability
- Strong interpersonal & communication skills Understanding of business operations and corporate culture
- Intellectual ability & Strategic thinking
21
Senior Big Data Consultant Resume Examples & Samples
- Write and produce technical documentation, knowledgebase articles
- Work closely with AWS EMR teams at all levels to help ensure the success of project consulting engagements with customer
- Work directly with customers’ technical resources to devise and recommend solutions based on the understood requirements
- Travel is up to 50% regionally. (Customers within Southern California or West coast)
- Bachelor's degree in Computer science or equivalent experience
- Strong experience implementing software and/or solutions in AWS environment
- Implementation and tuning experience specifically using Amazon Elastic Map Reduce
- Experience designing data queries against data in the HDFS environment using tools such as Apache Hive/Impala/Shark
- Significant previous work writing to network-based APIs, preferably REST
- Strong understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools, logging and monitoring tools (log4j, JMX), and security offerings (Kerberos/SPNEGO)
- Demonstrable experience using R and the algorithms provided by Mahout
- Experience with Storm, Kafka, Flume, HCatalog
- For more information on Amazon Web Services, please visit http://aws.amazon.com
22
Big Data Consultant Resume Examples & Samples
- Bachelor's degree in Computer Science, Engineering, Technical Science or 5 years of IT/Programming experience
- Minimum 2+ years of designing, building and operationalizing large scale applications using Hadoop and NoSQL components - HDFS, HBase, Hive, Sqoop, Flume, Spark, MapReduce, Kafka, Cassandra, MongoDB etc. in production
- Minimum 2+ years of organizing and architecting data at scale for Hadoop/NoSQL data stores
- Minimum 1+ year of MapReduce coding, including Java, Python, Pig programming, Hadoop Streaming, HiveQL for data analysis of production applications
- Minimum 2+ years designing and implementing relational data models working with RDBMS move to preferred
- Minimum 2+ years working with traditional as well as Big Data ETL tools move to preferred
- Minimum 2+ years of experience designing and building REST web services move to preferred
- Minimum 2+ years of building and deploying Java apps to production move to preferred
- Minimum 1+ years of administering and managing large production Hadoop/NoSQL clusters
- Responsibilities include the following
- Architect modern data solutions in a hybrid environment of traditional and modern data technologies such as Hadoop, NoSQL
- Create technical and operational architectures for these solutions incorporating Hadoop, NoSQL and other modern data technologies
- Implement and deploy custom solutions/applications using Hadoop/NoSQL
- Lead and guide implementation teams and provide technical subject matter expertise in support of the following
- Designing, implementing and deploying ETL to load data into Hadoop/NoSQL
- Security implementation of a Hadoop/NoSQL solutions
- Managing data in Hadoop/NoSQL co-existing with traditional data technologies in a hybrid environment
- Troubleshooting production issues with Hadoop/NoSQL
- Performance tuning of a Hadoop/NoSQL environment
23
Big Data Consultant / Manager Resume Examples & Samples
- Good knowledge of communication industry
- Guiding team through problem definition, issue identification and work plan development using problem solving principles and past experience
- Performing/interpreting value analysis to identify value creation opportunities for clients
- 2-3 years of related working experience in Open Source Big Data Technology: Hadoop, Spark
24
Big Data Consultant Resume Examples & Samples
- Design and deliver highly relevant experiences for consumers in real time, using the latest technologies to increase awareness, engagement, sales and profits
- 7 years of experience with 5 years of hands on predictive analytics experience using structured and unstructured data to solve business problems
- 5 years of leadership experience leading and building large analytics centers of excellence comprised of senior analytics consultants and data scientists
- 5 years of experience deploying large analytics initiatives/ programs across industry verticals is a must. Any prior experience with a blue chip global management consulting firm is also a plus
- Strong experience in consultative selling and large scale analytics project delivery
- Strong executive presence and inspirational leadership qualities
- Good understanding and knowledge of statistical tools (SAS, R), analytical methods and big data technologies (Hadoop)
- PhD/MS in quantitative sciences or Post Grad in Management (Marketing/ Finance/SCM) preferably from a US university or Indian management school
- Minimum 1 year of Building Java apps
- Minimum 1 year implementing relational data models
- Minimum of a Bachelor’s Degree or 3 years IT/Programming experience
- Minimum 1 year of experience Developing REST web services
- Data Science and Analytics (machine learning, analytical models, MAHOUT, etc.)
- Data Visualization
25
Big Data Consultant Resume Examples & Samples
- Minimum 2-3 years of experience in Data Analytics/ Data analysis
- Minimum 3 years of Java/Scala, Python, R, Pig programming, and/or HiveQL experience
- Minimum 3 years implementing analytic solutions in large scale, distributed environments using techniques such as machine learning, forecasting, clustering, sentiment analysis, etc
- Minimum 3 years working with traditional ETL tools and other streaming tools such as Kafka, Storm, or Spark Streaming
- 2 years’ experience with BI/Architecture and Cognos
- Math or Engineering Background
- Experience with Greenplum, Exadata, Cassandra, Spark, HBase, graphDBs, key-value stores, or NoSQL systems
- Experience using search tools such as Elasticsearch or Solr
- Experience using advanced analytic tools such as Mahout, Scikit-learn, MLLib, or other related toolkits
- Experience with authentication security protocols (Kerberos, Knox or Ranger)
- Desire to work in distributed information systems environments
- Excellent leadership, management, communication (written and oral) and interpersonal skills
- Proven ability to build, manage, and foster a team-oriented environment
- Can work with minimal supervision and is a self starter
26
Big Data Consultant Resume Examples & Samples
- Use case and business case development
- Vendor landscape and technology assessment (covering for example Hadoop, Map Reduce, NoSQL etc)
- Solution architecture formulation (including role of conventional information management platforms)
- Proof of concept execution to prove the value of Big Data use cases
- Full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
- Assess emerging trends in storage access which includes the application of existing high performance distributed file system storage technologies for use by applications in lieu to traditional relational database storage methods
- We are looking for candidates with a broad set of technology skills to provide thought leadership, solution architecting and implementation experience for robust Big Data solutions for big data opportunities, and to grow big data skills and capabilities
- Deep experience across systems integration, information management, data management and architecture, and business analytics
- Experience with large-scale, multi-release information centric projects
- Experience with waterfall and agile delivery approaches
- End to end implementation of at least 1 big data project using at least 1 of Hadoop, Map Reduce, NoSQL platforms
- Solution architecture development
- Vendor assessment
- TCO assessment versus using conventional IM platforms
- Deep design experience on high-scale or distributed systems (such as Hadoop)
- Implementation expertise with high performance distributed parallel file system storage technology such HDFS or similar
- Implementation expertise with a distributed structured storage technology such as BigTable, Cassandra, Dynamo, Mongo or similar NoSQL solution
- Deep experience with the Implementation of ETL, reporting, business intelligence technologies and high volume batch processing involving large data stores
- Design and implementation of a medium to large custom application data model
- Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
- Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
- Hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
- Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
- Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
- Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)
- Self-starter, with a keen interest in technology and highly motivated towards success
- Must show initiative and desire to learn business subjects
- Excellent problem solving skills; proven teamwork and communication skills
- Trilingual: English and Dutch or French
- Readiness to travel in Belgium and abroad with varying intensity
27
Digital Big Data Consultant Resume Examples & Samples
- Experience is application such as: Hadoop, Splunk, Cassandra, Java, Storm-Kafka
- Bilingual: Proficiency in French is an asset
- Eligibility to travel and work in throughout Canada
28
Big Data Consultant Resume Examples & Samples
- Provide hands - on leadership for the design and development of ETL data flows using Big Data Ecosystem tools and technologies
- Lead development teams in building large - scale, high - speed, and low - latency data solutions in the areas of large scale data manipulation, long - term data storage, data warehousing, low - latency retrieval systems, real - time reporting and analytics, Data visualizations, BI reports, dashboards, and ad - hoc analytics
- Design & implement work flows using Unix / Linux scripting to perform data ingestion and ETL on Big Data platform
- Translate complex functional and technical requirements into detailed design documents
- Perform analysis of data sets and uncover insights
- Maintain security and data privacy
- Propose best practices / standards for Big Data and Service Oriented Architecture solutions
- Ensure that all development solutions are properly aligned with the tools and architectural best practice patterns used across the company
- Help shape and augment teams ability to adopt continuous delivery and integration capabilities and utilize DevOps best practices to improve delivery automation, collaboration, and efficiency
- 8+ years Java development experience
- 1+ years Big Data Ecosystem experience
- Team lead experience
- ETL development experience
- J2EE Experience
- Apache Spark experience
- Talend experience
- Unix / Linux Scripting experience
- Shell Scripting experience
- Python experience
- HBase experience
- Scala experience
- JSON experience
- RESTful Web Services experience
- Sqoop experience
- Flume experience
29
Senior Big Data Consultant Resume Examples & Samples
- Highly technical and analytical, possessing significant IT implementation experience
- Deep hands-on experience leading the design, development and deployment of business software at scale
- BS level technical degree required; Computer Science or Math background preferred; MS degree desired
30
Senior Big Data Consultant Resume Examples & Samples
- Representing DMI and its Big Data services in Europe
- Work effectively within a team environment to maximize revenue potential and ensure customer success
- Independently run discovery sessions with customers and internal team
- Effectively advise and influence customers through consultative selling techniques
- Articulate analytic solutions in terms of ROI to the customer
- Together with the Customer Experience and Delivery team work as a consultant for the customer up to 50% of total time
- Research the customer environment to create effective business impact models, build business cases, ROI models
- Keep up with trends and specialist knowledge of Analytics, data visualization and associated solutions
- Support in ensuring that we meet and exceed revenue targets for Big Data in Europe
- Other related duties as assigned
- Minimum of a Bachelor's Degree in related fields (Business / Engineering or Technology)
- 5 + years' experience in selling analytics and business intelligence services to Fortune 500 companies
- Must have relevant software (BI, database, ERP, CRM, Big Data with e.g. SAP, Hadoop and Micro Strategy). You must be able to demonstrate your technical expertise
- Proven experience managing complex sales cycles to sell database, data warehouse and business intelligence solutions into the Fortune 500's
- 5 + years’ experience in selling analytics or database services to enterprise accounts
- Must have relevant software knowledge (BI, database, ERP, CRM, Big Data) with e.g. SAP, Hadoop and Micro Strategy. You must be able to demonstrate your expertise
- Proven experience supporting complex sales cycles to business intelligence solutions into the Fortune 500 and closing 6 figure deals
- You have a desire, even an obsession, to make customers successful through the best Analytics services in the market
- Exceptional analytical and technical skills, as well as written and verbal communication skills, interpersonal skills including collaboration, facilitation, negotiation, and persuasion
- Ability to prospect, champion and articulate business cases and have proven track record of closing 6 figure deals in large accounts
- Ability to present and articulate a complete application and technology solution
- Ability to think out-of-the-box and impress customers with your line of thinking and have a proven record to be a leader and team player
- You are a passionate evangelist. You believe that DMI wants to “change the game” and win the new world of Analytics and Data Visualization!
- You love analytics and understanding data!
- *************** No Agencies Please *****************
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Big Data Consultant Resume Examples & Samples
- Master's Degree or PhD in Computer Science, Engineering, Technical Science or similar
- Experience and/or interest in designing and building Big Data solutions using Hadoop or NoSQL databases
- Experience and/or interest in working with open source eco-system components such as Apache Spark, Apache Flume, Apache Oozie, Apache Hive, Apache Drill, Apache Kylin, Apache Flink, Apache HBase, Apache Cassandra, Apache Kafka
- Hands-on coding experience in one or more of: Scala, Java or Python
- Experience and/or interest in working with version control, continuous integration and automated tests
- Experience in resource management frameworks such as Docker and/or Mesos
- Experience designing and implementing relational data models working with RDBMS
- Experience in managing and modeling data using Hadoop and NoSQL data stores
- Experience or understanding in predictive modeling and machine learning especially using Big Data technologies
- Experience or understanding of large scale cloud data solutions using platforms such as AWS, Azure or Google Cloud Platform
- Experience in designing and building different data access patterns from Hadoop/NoSQL data stores
- Experience or interest in emerging technologies such a cognitive computing, AI, etc
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Big Data Consultant Excelian Resume Examples & Samples
- Hands on development and technical expertise within Big Data Engineering/solutions
- Leading technical development of more Junior developers
- Architectural design of large scale systems
- Technical management of project/team
- Input into pre-sales and proposal activity around Big Data/NoSQL
- Significant hands on experience and/or engineering experience using at least one of the following technologies: Hadoop (HDFS and MapReduce, Hadoop ecosystem), Cassandra, MongoDB and Spark
- Good understanding of the NoSQL/Big Data ecosystem and ability to compare solutions and put them into perspective when presented with business use cases
- Knowledge of a server-side development language (Java or C#)
- Ability to work in teams of developers, as tech lead or hands-on architect
- Excellent communicative and presentation skills
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Modern Data Architecture & Big Data Consultant Resume Examples & Samples
- Work as part of a team, to design and develop cloud data solutions
- Gather technical requirements, assess client capabilities and analyze findings to provide appropriate cloud solution recommendations and adoption strategy
- Define Cloud Data strategies, including designing multi-phased implementation roadmaps
- Be versed in Amazon Web Services, Google Cloud Platform and/or Microsoft Azure cloud solutions, architecture, related technologies and their interdependencies
- Research, analyze, recommend and select technical approaches for solving difficult and challenging development and integration problems
- Learn and adopt new tools and techniques to increase performance, automation and scalability
- Mentor other Slalom team members
- Assist business development teams with pre-sales activities and RFPs
- Understand business goals and drivers and translate those into an appropriate technical solution
- Provide technical direction and oversight to cloud implementation teams
- 3+ years previous consulting experience
- 3+ years architecting and implementing Microsoft Azure or Amazon Web Services infrastructure and topologies
- B.S. in Computer Science, related fields or commensurate work experience
- Project experience implementing core infrastructure, networking and cloud based services for business teams or consumers
- Experience implementing Lambda architecture-based data designs
- Deep product knowledge and understanding of Microsoft Azure, AWS, Google Cloud
- Experience configuring and tuning virtual private clouds
- Practical experience sizing hardware and storage needs
- Strong analytical problem solving ability
- Self-starter with the ability to work independently or as part of a project team
- Capability to perform Performance analysis, troubleshooting and remediation
- Knowledge of High Availability and Disaster Recovery principles, patterns and usage
- Understanding of cloud ecosystem and leading edge cloud emerging technologies
- For AWS, S3, Redshift, Elastic Map Reduce (EMR) a plus
- For Azure, HDinsight and SQLserver 2016 a plus
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Advanced Analytics Enablement Big Data-consultant Resume Examples & Samples
- AAE Big Data Senior Managers at Deloitte will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies
- Responsibilities include, among others, managing teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
- Design and implement data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters
- 6+ years of relevant technology architecture consulting or industry experience
- Experience working as a Data Scientist
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Big Data Consultant Resume Examples & Samples
- Http://www.ibm.com/ibm/responsibility/initiatives.html
- Experience with design and development of Hadoop and Data Lake Solution components across multiple Hadoop platforms like Cloudera, HortonWorks and IBM Big Insights
- Strong understanding data lake approaches, industry standards and industry best practices
- Detail level design and build of HADOOP based data components including migrating from traditional data warehouses and leveraging the data lake for gathering insights from social media and external data streams
- Minimum of 2 years hands on experience in the Hadoop technologies implementation with more than 3 years in the data warehouse, analytics, data management and data integration space
- Experience with one or more years of these skills: Cloudera, Horton Works, IBM Insights, MongoDB, Spark, Storm, HDFS, HBase, HIVE, PIG, Java/C++, SQL, Linux, Cassandra. Kafka and equivalents
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Big Data Consultant Resume Examples & Samples
- Analyze and extract relevant information from business data to help automate and optimize key processes
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- 6+ years of industry experience in predictive modeling and analysis, predictive software development
- Strong Problem solving ability
- Experience using Python and/or R
- Experience using machine learning libraries, such as scikit-learn, caret, mlr, mllib
- Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
- Strong communication and data presentation skills
- 8+ years of industry experience in predictive modeling and analysis, predictive software development
- Experience working with distributed systems and grid computing
- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
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Big Data Consultant Resume Examples & Samples
- Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, Amazon Aurora (SQL), DynamoDB (NoSQL), Relational Database Service (RDS), Amazon EMR (Hadoop), and Amazon Redshift (EDW)
- Demonstrated industry leadership in the fields of database, data warehousing, or data sciences
- Deep understanding and implementation experience of database and analytical technologies in the industry including MPP databases, noSQL storage, Data Warehouse design, BI reporting and Dashboard development, or AI
- AWS Experience
- Demonstrated ability to think strategically about business, product, and technical challenges in an global environment
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Big Data Consultant Resume Examples & Samples
- 3 plus years of hands-on technical experience estimating and conceptualizing large scale data solutions, preferably using one or more of the following technologies (Hadoop, Cassandra, Green Plum, Vertica, Aster)
- 3 plus years of experience in building and deploying solutions to big data problems with various technologies
- 3 plus years of experience in building and implementing an architecture roadmap for next generation enterprise data and analytics solutions
- Minimum 2 years of experience in working with emerging big data technology vendors (e.g. Cloudera, Hortonworks, Datastax)
- Math or Engineering background
- Full life cycle development experience
- Experience with Data Science and Analytics (machine learning, analytical models, MAHOUT, etc.)
