Senior Analytics Engineer Resume Samples
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Senior Analytics Engineer Resume Samples
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AS
A Schneider
Alexzander
Schneider
9732 Kobe Glens
Phoenix
AZ
+1 (555) 485 5973
9732 Kobe Glens
Phoenix
AZ
Phone
p
+1 (555) 485 5973
Experience
Experience
Philadelphia, PA
Senior Analytics Engineer
Philadelphia, PA
Bartoletti, Rogahn and Schimmel
Philadelphia, PA
Senior Analytics Engineer
- Maintain, streamline and harden existing data pipelines, from ingestion, through ETL and batch processing
- Successfully implementing process improvements impacting own work and work of others
- Devise and engineer applications for the next generation of our analytics platform, supporting Glu's worldwide studios and central functions such as marketing
- Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
- Recognizing and managing technical dependencies and/or limitations that impact analytic work
- Ensures that milestones are achieved on time and on-budget and in scope by dealing with or escalating issues with sufficient time for course correction
- Propose architecture solutions and best practices designed for enterprise wide projects involving massively parallel processing
Detroit, MI
Senior Analytics Engineer IoT
Detroit, MI
Leffler, Stoltenberg and Williamson
Detroit, MI
Senior Analytics Engineer IoT
- Continuous integration workflows
- Configuration and deployment tools (eg. Ansible, Terraform, etc.)
- Agile principles and processes
- Knowledge of source control systems, especially git
- Functional and unit testing (manual or automated)
- Python 3, Node.js, Rust or Go
- Knowledge of Docker, Terraform or Kubernetes
present
Chicago, IL
Senior Analytics Engineer, Optimization
Chicago, IL
Jenkins Group
present
Chicago, IL
Senior Analytics Engineer, Optimization
present
- Leverage strong engineering knowledge for building models and to develop new optimization algorithms. Engage technical experts across the business for knowledge capture into the solution
- Implement and validate algorithms
- Have pride – Ensure messy data isn’t our weakness by implementing and refining robust data management, linking, and auditing technologies
- Support Configuring, sizing, tuning, and monitoring analytic clusters
- Are you highly collaborative and enjoy working on teams that solve challenging problems by working together?
- Is the thought of competing with toe-to-toe with cutting-edge media and technology companies through the use of data and information exciting?
- Provides leadership in developing analytical solutions to business problems through the design and programming
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Ashford University
Bachelor’s Degree in Computer Science
Skills
Skills
- Experienced with SQL with experience working in large-scale analytical environment like, Hadoop, MapReduce & Analytic databases like Vertica, Teradata, Netezza, Greenplum, Aster Data, Paraccel
- Proficiency on OOT development, testing and deployment with C++/Java. Knowing Hadoop-related technologies like Pig, Hive, Flume, Scribe, ActiveMQ, Cloudera is big
- Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment. Skilled in scripting languages (Shell, Python, PHP, Perl)
- Strong in Python, Java, or PHP stack
- Familiarity with the following technologies
- Linux environments including CentOS and Ubuntu
- Message busses such as Scribe, Flume, ActiveMQ
- Configuration management tools like Puppet, Chef
- NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase
- Revision control systems like Subversion, Git, Perforce
15 Senior Analytics Engineer resume templates
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1
Senior Analytics Engineer Resume Examples & Samples
- Design, develop and maintain on large-scale BI/Analytics/Reporting applications
- Iterate on two weeks development cycles with frequent releases to a large community of internal users
- Develops and project estimates in collaboration with cross-functional teams
- Ensures that milestones are achieved on time and on-budget and in scope by dealing with or escalating issues with sufficient time for course correction
- Escalates all unresolved project or personnel issues to the appropriate managers
- Provide expert advice in the usage and interpretation of data to various business partners
- Actively question and challenge customers to understand their requirements and reach the best solutions, near term and long term
- Successfully implementing process improvements impacting own work and work of others
- 7+ years of development experience with specific focus in developing highly scalable web and/or enterprise technology projects
- 3+ years of development experience with BI/Analytics/DW Reporting
- Experienced with SQL with experience working in large-scale analytical environment like, Hadoop, MapReduce & Analytic databases like Vertica, Teradata, Netezza, Greenplum, Aster Data, Paraccel
- Proficiency on OOT development, testing and deployment with C++/Java. Knowing Hadoop-related technologies like Pig, Hive, Flume, Scribe, ActiveMQ, Cloudera is big plus
- Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment. Skilled in scripting languages (Shell, Python, PHP, Perl)
- Strong in Python, Java, or PHP stack
- Familiarity with the following technologies
- Linux environments including CentOS and Ubuntu
- Message busses such as Scribe, Flume, ActiveMQ
- Configuration management tools like Puppet, Chef
- NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase
- Revision control systems like Subversion, Git, Perforce
- Proficient in Linux environment
- Write and interpret complex SQL queries, aggregations and ETL
- Strong analytical, debugging and trouble shooting skills
- Familiarity with large scale machine learning or Experience with distributed systems is a plus
- Experience in human computer interaction, data visualization, or business intelligence are a plus
- Familiarity with games is a big plus
- Knowledge and experience of analytics solutions and processes in web analytics is a big plus
- VLDB experience with multiple relational databases such as Netezza, Teradata, Oracle, DB2 or SQL Server
- Experience with and knowledge of multiple Data Warehouse/Data Mart architecture
- Thorough knowledge of ETL process architecture, design and implementation
- Experience with performance and scalability design and testing
- Extensive experience with relational and dimensional DB design and development
- Near-real-time Data Warehousing experience and experience with micro-batch loads strongly desirable
- Customer-centric Data Warehouse experience highly desirable
- Functional knowledge of OLTP and OLAP architectures, methods and processes as they relate to Data Warehouse input/output design and interface contracts
- Basic familiarity with analytical tools such as: MicroStrategy, Business Objects or Tableau useful as context
- Experience contributing to project task prioritization, planning, estimating, work assignment, & quality assurance at every stage of a project
- Experience with end-to-end implementation, and maintenance of a multi-Terabyte DW Environment in a Fortune 1000 corporation strongly desired
- Experience with technical proof of concept initiatives strongly preferred
- 5-7 years software development experiences on distributed and high availability systems
- Strong programming skill in coding, algorithm using compiled language and script languages
- Experienced with development processes and lifecycles in a technology organization
- Excellent ability to develop rapid prototyping and building stable, maintainable code
- Experience in Advanced Analytics and tools like SAS,R, SPSS a plus
- Experiencing working with multiple groups, bridging the gap between business needs and technical solutions
- Excellent written and verbal communication skills; ability to communicate across a diverse range of internal and external contacts
- Must have aptitude and proven record of innovation and creative problem solving
- Experience with large internet, media, or entertainment business models strongly preferred
- Broad experience base w/ two or more of the following work environments a plus: Internet company, fortune 500 company, software company, consulting firm, or a media company
- Demonstrated ability to synthesize business requirements from customer inputs
- Demonstrated ability to map business/functional requirements to appropriate technical requirements
- Committed to ensure deliverables dependable, efficient and scalable solutions
- Willing to and capable of quickly and actively understanding and adapting to changes in business requirement, environment, process, tools and new technology
- Team player and work with business users, DBAs, application engineers often to find most suitable solution
2
Senior Analytics Engineer Resume Examples & Samples
- Perform data modeling, schema design, and mapping across very large data sets to ensure data is accessible, reliable, and efficiently available
- Participate in data analysis, mapping, dimensional modeling, and troubleshooting if necessary in order to maintain high quality, well-structured, and robust data
- Leverage data analytics tools to design and implement business intelligence reporting and analytics solutions, such as dashboards, reports, and ad-hoc capabilities
- Create and develop data mining, discovery, and analytics capabilities with custom and third-party software solutions
- Propose architecture solutions and best practices designed for enterprise wide projects involving massively parallel processing
- Lead data analysis investigations focused on data quality, availability, or reliability
- Participate in development activities including model walkthroughs, requirements, and gap analysis
- Implement data access integrations and endpoints, such as RESTful APIs, data pipes, and small-scale web applications
- Create documentation, unit tests, samples, and other artifacts to validate your work and to assist others using or supporting your work
- Work closely with data architects, data integration engineers, system engineers, and other team members to deliver the very best data analytics products
- Perform exploratory and quantitative analytics when required
- Actively participate in the team’s software development lifecycle (agile-based)
- Assist with transitioning projects into production and troubleshooting of problems
- Keep your eyes open for new technologies, ways of doing things, risks, and opportunities so the team can stay at the leading edge of the possible
- Do you like to leverage your technical skills to tell stories with data and make it meaningful to many different groups of people?
- Are you highly collaborative and enjoy working on teams that solve challenging problems by working together?
- Is the thought of competing with toe-to-toe with cutting-edge media and technology companies through the use of data and information exciting?
- Involvement with crafting business intelligence/data analytics strategy
- Familiarity with Hadoop and related technologies such as Pig, Hive, Spark, Flume, Scribe, and Cloudera
- Familiarity with data analytics tools, such as R, SAS, and SPSS
- Experience in other areas of technology infrastructure and development, such as web applications, desktop applications, middleware, application security, etc
- Use of a web development framework, such as Django or Ruby on Rails
- Personal or professional experience with open source software
- You have previously worked in the media or entertainment space
3
Senior Analytics Engineer Resume Examples & Samples
- Build cool things – Build software across our entire cutting-edge and cloud-based platform, including data pipeline tools, interfaces and small-scale web applications, with awesome cutting-edge technologies
- Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery
- Innovate and inspire – Think of new ways to help make data meaningful, actionable, and manageable and then work across our team to put your ideas into action
- Have pride – Ensure messy data isn’t our weakness by implementing and refining robust data management, linking, and auditing technologies
- Grow with us – Help us stay ahead of the curve by working closely with data architects, ETL specialists, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
- Not your first rodeo – Have 7+ years of experience developing with a mix of languages (Java, Python, Bash, etc.) and frameworks to implement data-related tools and technologies
- Query ninja – Know ANSI SQL like the back of your hand; you are also very handy with No-SQL systems such as HBase, MongoDB, or Cassandra
- Developer at heart – Enjoy tinkering and developing with a wide set of tools to solve almost any challenge you encounter, especially with data platforms like Hadoop
- Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
- Passion and creativity – Are passionate about data, technology, & creative innovation
- Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
4
Senior Analytics Engineer Resume Examples & Samples
- 5 years plus experience in designing, developing, and deploying analytics solutions
- 4 years plus experience in SAS Analytics Pro version 9.1.3 or higher (Windows 2008 or higher)
- 4 years plus experience with the following Areas of SAS
- SAS Base including Data Step; PROC Report; SAS ODS; PROC Tabulate; PROC Summary; PROC MEANS; SAS arrays; PROC Transpose and Merge; and SAS Functions
- Ability to create SAS Data Sets from raw data extracted from various data sources and file formats
- SAS Macros including the ability to design and write flexible and reusable code using SAS Macros; understanding of Macro Variables; and passing parameters
- 2 years or more experience with the following Areas of SAS is a plus
- SAS STAT software including the creation of variance and predictive models; Analysis of Variance; Regression Analysis; and Multivariate Analysis Web Intelligence
- SAS ETS Software econometric and time series techniques for modeling, forecasting, simulating business processes; modeling risk factors to predict economic outcomes for various scenarios; and using time stamp data to predict trends Desktop Intelligence
- SAS Graph software including the creation of data in charts, graphs, and maps as well as drill down
- Installing and configuring SAS Management Console
- 4 years plus experience and proficiency with the following Areas of Relational Databases
- Knowledge and Strong Experience with one or more of the following databases MS SQL Server; Oracle; and Sybase IQ
- Ability to perform Complex Selects, Updates, Inserts, Deletes on database tables
- Ability to perform Query Performance Tuning
- Familiar with Erwin or similar data modeling software
- Ability to interact with end users and Business Analysts
- Experienced with all phases of the Software Development Life Cycle (SDLC)
- Leadership qualities and a self- starter
5
Senior Analytics Engineer Resume Examples & Samples
- Maintain uptime requirements with highly available clusters
- Improve automated monitoring and failure recovery
- Manage backups for key data stores
- Support data lineage and data quality management
- Implement security and regulatory compliance measures
- Solve Business problems through the design and programming
- VLDB experience with multiple relational databases. Familiarity with large scale multi terabyte environment or Experience with distributed systems is a plus
- Experience with and knowledge of multiple Data Warehouse / Data Mart architecture
- Designed system architecture and data model with analytics engineers
- 5+ years of development experience with Databases/Analytics/DataWarehouse
6
Senior Analytics Engineer Resume Examples & Samples
- Committed to delivering dependable, efficient and scalable solutions
- Experience in Data Visualization tools using HTML, Node.js, AJAX, APACHE/Nginx, Javascript
- Experience in web framework eg: Django and/or Flask
- Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment
- Experience in Python, Java, or PHP stack
- Familiarity with the following technologies: Linux environments including CentOS and Ubuntu / NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase / Revision control systems like, Git, Perforce
- 0-3 years software development experiences on distributed and high availability systems
- 3-5 years of development experience in visualization tools
7
Senior Analytics Engineer Resume Examples & Samples
- Knowledge of the Hadoop ecosystem with experience in Hive, MapReduce, etc
- Experience with reporting and analytic tools such as Datameer, Platfora, R, Mahout, MicroStrategy, SAS
- Experience creating machine learning, data mining, data visualization, data munging, or statistical models for Big Data problems
- Experience with terabyte or larger size poly-structured data sets
- Experience with statistical analysis software, such as Weka, R, Rapid-Miner, Matlab, SAS, SPSS
- Any experience in analytical techniques such as time series analysis, regression analysis, or other
- Any experience in web analytics or behavioral targeting
- Any experience in Hadoop (Cloudera), ETL (Talend), MapReduce, Hive, Pig, HBase, Java, C++, Perl, Python, or Clojure
- Partner with client sectors to build and share successful understandings of how business value can be derived from big data
- Build prototype solutions for problems brought by business sectors and prove that business value can be derived from the data
- Identify engineering solutions and products to build a portfolio of recommended analytical solutions
- Design and enhance the big data portfolio within client projects identified, validated, and tested data science products
- Foster adoption of data driven decision making by publishing, enforcing, and mentoring on data science best practices
- Proficient with R, SQL, and either Python or Java
- Familiar with SAS, Hadoop, and elements of Hadoop ecosphere
8
Senior Analytics Engineer Resume Examples & Samples
- Data and business process automation and transparency
- Partner with CIMA Teams to document and automate data processes
- Designs, develops, implements, and tests software fixes, enhancements, components and/or new software systems and applications used in local, networked, or big data related computer programs using new or existing technologies for Big Data and reporting products of Walt Disney Parks and Resorts
- Designs and develops highly scalable software systems and applications in a variety of high traffic functional areas such as e-commerce, account management and mobile
- Ability to communicate with technical and non-technical personnel
- Strong understanding of NoSQL datastores and their applicable use cases
- Experience with Apache Mesos
- Bachelor’s Degree in technology field (Computer Science, Engineer, etc.)
9
Senior Analytics Engineer Resume Examples & Samples
- Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc
- Provide input into product selection and standards, design, and certification
- Adheres to engineering methodologies and architecture global standards
- Develop methods and deploy data-intensive scientific workflows and pipelining tools in an internal or external hosted environment
- Focus on capabilities, workflows and visualizations for internally hosted data producing dashboards for various metrics
- Experience in Azure or Amazon S3 cloud technologies with exposure to managing raw data and its archiving
- Adhere to E&Y and ITIL guidelines for Incident, Problem, and Change Management
- Ensures all work is carried out and documented in accordance with required standards, methods and procedures
- Curious about data, Understands data and can categorize data as descriptive/diagnostic/predictive/perspective. Knowledge on techniques to data
- Strong exposure to move data around, from a database or an API, transform it into a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.)
- Knowledge on Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, Pwoershell, Perl one-liner
- Exposed to Big, undefined problems and petabytes of data
- Selects appropriately from applicable standards, methods, tools and applications and use accordingly
- Ability to work well within a multi-disciplinary team structure, but also independently
- Is able to absorb rapidly new technical information, business acumen, and apply it effectively
- Ability to make key decisions as they relate to service disruptions and problems
- Ability to rapidly absorb new technical information, business acumen, and apply it effectively
- Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
- This position does not have supervisory responsibilities
- Substantial, extensive and demonstrated experience in various aspects of technology infrastructure design and implementation, and/or support
- Approximately 12 plus years of related operations experience supporting large projects in production setup
10
Senior Analytics Engineer Resume Examples & Samples
- Minimum a Degree / Doctorate in Computing, Computer Engineering, Computer Science or equivalent
- At least 3-6 years of relevant experience
- Prior experience in Data analytics, mathematical optimization or modeling & mining will be an added advantage
- Knowledge in Matlab, SAS, SPSS will be an added advantage
11
Senior Analytics Engineer Resume Examples & Samples
- Lead design of PHM systems for NPI programs
- Formulate and implement plans to achieve technical requirements, schedule and contract
- Bachelor's Degree in Engineering, Physics, or Mathematics from an accredited college or
- Experience in planning, executing, and delivering business solutions on time and within
- Effective team building and project management ability
- Strong interpersonal, influencing, and leadership skills
- Strong problem analysis and resolution skills
- Ability to be flexible and persevere through uncertainty
- Prior experience in Diagnostics Analytics development
12
Senior Analytics Engineer Resume Examples & Samples
- Work with customers to capture data and analytics requirements
- Develop, verify, and validate analytics to address customer needs and opportunities
- Leverage existing Power teams, and work collaboratively with GE Software, Global Research, and other business entities
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
- Work in technical teams in development, testing/ validation, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
- Perform exploratory and targeted data analyses using descriptive statistics and other methods
- Work with data engineers on data quality assessment, data cleansing and data analytics
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
- Evaluate emerging analytics technologies, vendors and provide recommendations to the business
- Communicate methods, findings, and hypotheses with stakeholders
- Master’s Degree in Engineering/Science plus 5 year analytics development for industrial applications in a commercial/industrial setting
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., JMP, R, Python)
- Demonstrated skill with SQL, querying data and exposure to Big Data
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
- Demonstrated skill in prescriptive analytics and analytic prototyping
- Ability to work in a dynamic environment, large variety of groups, and with team members at global locations
- Must be willing to travel to GE global locations & customer sites, typically less than 10%
- Demonstrated skill in one or more industry sectors of power generation/distribution (gas turbines, coal powered, Nuclear, reciprocating engines, compressor), and/or water & process treatment technologies
- Knowledge/exposure to industrial automation, onsite control systems, supervisory control systems
- Demonstrated skill in defining and delivering customer value
13
Senior Analytics Engineer Resume Examples & Samples
- Some years of experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI like Cognos, Tableau etc.)
- Some years’ experience programming ETL programs using standard languages or tools (Informatica, Data Stage, Oracle or equivalent)
- 3+ years’ experience performing data analysis and profiling, and designing ETL systems/programs
- In depth understanding of data integration best practices, leading industry applications and features such as master data management, entity resolution, data quality assessment, metadata management, etc
- Understanding of data warehouse best practices
- Good interpersonal skills and the ability to collaborate with other technical teams, project management, client management and business analysts
- Experience of the health and human services industry an advantage
- Understands basic functionality and interoperability of product modules / components
14
Senior Analytics Engineer Resume Examples & Samples
- Manage remote connectivity via Server Management to get messages from Customer systems to Teradata Backend applications so customer system events can be monitored, actions can be recommended based on event rules and taken in order to track, investigate and resolve issues as rapidly as possible, for example, new incidents can be created with diagnostics information attached for support engineers to investigate
- Automate monitoring of the messaging traffic from Customer systems, detection of abnormal traffic and timely notification with proactive recommendations in order to resolve issues immediately, prevent potential issues from happening, protect infrastructure’s ability to process messages and create incidents, and project backend infrastructure capacity requirements to meet SLAs
- Create and update event rules by collaborating with Product Engineers, Field Services Engineers, Support Engineers in order to minimize unnecessary false positives and to cover new scenarios where incidents shall be automatically generated
- Research, design, prototype, test and document novel algorithms for event signature identification, representation, persistence, retrieval and matching, in order to achieve automated, near real time decision making on data and problems
- On a daily basis, you will work with massive datasets, which includes data integration, data cleansing, exploratory analysis, predictive modeling, and rapid prototyping. You will present findings to teammates and guide the transition of new algorithms into operational code
- Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, or Operations Research)
- 10+ years of related experience gained through a combination of academic studies and work experience
- Prior work and/or research demonstrates experience in the following areas
15
Senior Analytics Engineer Resume Examples & Samples
- Lead the design and use of custom analytics reports and efficient HQL/SQL queries
- Create weekly presentations to report status of Social/Mobile games to management
- Lead A/B testing process and status reporting
- Coordinate with other team members to provide recommendations for changes and improvements to increase player retention and monetization
- Create ad hoc reports
- 5+ years of professional experience in analytics, statistics or engineering
- Advanced SQL/HQL/MySQL
- Experience mentoring team members
- Other statistical analysis tools a plus (e.g. Minitab, SAS, R, etc.)
- Presenting analysis in a group setting
- Clear and effective communication of complex ideas and analysis
- General understanding of programming concepts and methodology a plus
- Critical thinking and creative problem solving
16
Senior Analytics Engineer, Optimization Resume Examples & Samples
- Leverage strong engineering knowledge for building models and to develop new optimization algorithms. Engage technical experts across the business for knowledge capture into the solution
- Implement and validate algorithms
- Deliver new commercially re-usable analytics that meet quality standards to drive growth in asset, application & industry coverage
- Should be able to influence from a technical standpoint across the function and business. Ability to influence at the peer level is key
- Optimize and define new processes and tools, to enable large scale enterprise-grade analytics development
- Deliver core product requirements to Product Management, Software Engineering & UX Design
- Master’s Degree in Mechanical or Aerospace Engineering
- Minimum work experience of 5 years
- Work experience in a research environment
- Demonstrates capability of 'rolling up sleeves and getting hands dirty'
- Works well in fast paced growing environment
- Perform tasks in an independent manner with minimal guidance
- Knowledge of GE industrial products
- High attention to detail including ability to manage multiple, competing priorities simultaneously
17
Senior Analytics Engineer Resume Examples & Samples
- Work hand in hand with Latin America clients to lead and solve complex technical problems
- Define, develop, test and operationalization of analytical solutions based on client’s needs
- Maintain direct communication with multiple teams as well as Latin America clients
- Effectively communicate and provide recommendations to internal and external GE customers through the analysis, preparation and presentation of technical data
- BS degree plus 6 years of experience or Master’s degree plus 4 years of experience or PhD degree plus 2 years of experience
- Degree must be in
- Experience in airlines operations
- Knowledge on aircraft engines performance and operational parameters
- Experience in Data Mining techniques and Machine Learning algorithms
- Experience in prototyping analytics solutions for complex problems
18
Senior Analytics Engineer IoT Resume Examples & Samples
- Functional and unit testing (manual or automated)
- Knowledge of source control systems, especially git
- Experience with database design and usage
- Continuous integration workflows
19
Senior Analytics Engineer Resume Examples & Samples
- GE - Digital: https://www.youtube.com/user/industrialinternet
- Master’s degree in Mechanical/Electrical Engineering
- Minimum work/research experience of 3 years in industry or university
- Demonstrated ability to deliver industrial grade analytics
- Ability to translate business needs to technical requirements, propose and validate solutions
- Demonstrates expertise in problem solving and technical innovation
- Effective teaming and problem solving abilities
- Able to interface effectively with multiple levels of the organization and external customers
- Knowledge of GE industrial products, experience in delivering end to end solutions
20
Senior Analytics Engineer Resume Examples & Samples
- Agile principles and processes
- Configuration and deployment tools (eg. Ansible, Terraform, etc.)
- Experience with cloud hosting platforms or virtualised production environments
- Use of a high level programming language to gain new insights from raw data
- Python 3, Node.js, Rust or Go
- Data visualisation tools (eg. Tableau, QuickSight, Kibana, D3.js)
- Knowledge of Docker, Terraform or Kubernetes
- Experience with AWS, especially S3, Lambda, Kinesis or Redshift
- Experience of maintaining production infrastructure
21
Senior Analytics Engineer Resume Examples & Samples
- Devise and engineer applications for the next generation of our analytics platform, supporting Glu's worldwide studios and central functions such as marketing
- Maintain, streamline and harden existing data pipelines, from ingestion, through ETL and batch processing
- Build and own tightly-engineered back-ends for various data applications
- Work with Analytics and Product Management to ensure optimal data design and efficiency
- Bachelor's degree in computer science/mathematics/engineering, or other fields with proven engineering experience
- 5-7 years software engineering experience, especially working on back-end data infrastructure
- Proficiency with at least one of the following languages: Java, Python, Scala
- Experience with SQL and SQL-like languages, especially Hive
- Extensive experience and knowledge of the Hadoop Ecosystem
- Basic statistics background (knows correlation from causation, and enjoys arguing about sample sizes)
- Bonus Points
- Experience Building data-rich web applications, especially with technologies like Angular.js and Node.js
- Knowledge of distributed stream processing technologies such as Storm, Heron, Spark Streaming or Google Dataflow
- Knowledge of NoSQL application data stores i.e. HBase, Cassandra, DynamoDB, BigTable
22
Senior Analytics Engineer Resume Examples & Samples
- Bachelor’s Degree from an accredited university or college
- 5 years of experience in project management or Leadership program graduate (preferably DTLP, OMLP, EEDP)
- Very proficient using Microsoft Excel
- Experience with Contract Margin Review (CMR) process
- Experience with Software development
- Experience using SQL, R, Python, SAS
- Demonstrate analysis and problem solving skills
- Solid project management skills and ability to monitor and communicate project status, business issues, and significant developments
- Demonstrated ability to drive projects to completion