Data Systems Engineer Resume Samples

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G Monahan

Garth

Monahan

949 Efren Falls

San Francisco

+1 (555) 793 1337

949 Efren Falls

San Francisco

Phone

p +1 (555) 793 1337

Experience Experience

Boston, MA

Data Systems Engineer

Boston, MA

MacGyver Inc

Boston, MA

Data Systems Engineer

Contribute to the development and on-going support of manufacturing applications with the overall goal of completing clearly defined projects at BioMarin
Provide conceptual guidance on programming models and algorithms for many-core architectures to other technical experts and management
Participate in the design and running of benchmarks and other tests to evaluate new HPC technologies and ensure that NERSC systems and software are operating correctly
Possibly assist with off-hours monthly maintenance patching and updating activities as related to manufacturing applications or similar systems
Develop and administer system procedures for installation, monitoring, performance utilization, upgrades, backups, recovery and overall operations
Provide guidance and consultation in technical matters such as network integration, hardware selection, and system configuration
Have a general knowledge of the underlying scientific principles applied to the development and manufacture of biopharmaceuticals

San Francisco, CA

Big Data Systems Engineer

San Francisco, CA

Watsica LLC

San Francisco, CA

Big Data Systems Engineer

Provide management updates on, project development roadmaps, wins and challenges in support of Yield/Quality differentiated capabilities in these areas
Develop data analytic solutions to analyze and link Micron’s multiple data-sources in the strategic data platforms
Understand which technologies work in a multi-tenant environment and which do not
Knowledge in creating Data workflow pipelines using (Oozie /UNIX Cron/ or any other tools)
Knowledge performance tuning of ETL and SQL queries
Understand the challenges of working across data centres
Knowledge supporting Big Data pipelines and workflows

present

Chicago, IL

Test Data Systems Engineer

Chicago, IL

Walter, Bode and Harber

present

Chicago, IL

Test Data Systems Engineer

present

Ensure Instrumentation Engineers develop and maintain system documentation and perform necessary configuration management
Participate in and foster a work environment that is based upon openness, trust, communication, teamwork, empowerment, innovation, and satisfaction
Coordinate staff work assignments, track their progress and help eliminate roadblocks
Foster a strong safety culture amongst team members to sustain an injury and incident free workplace
Review performance and write annual reviews for staff
Develop and lead a multi-disciplinary team of engineers and data system support staff
Be a sounding board for addressing concerns and troubleshooting problems

Education Education

Bachelor’s Degree in Computer Science

Syracuse University

Bachelor’s Degree in Computer Science

Skills Skills

Able to integrate feedback in a professional manner and thrives in multidisciplinary teams with members with highly diverse backgrounds
Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail
Strong working knowledge of at least one system monitoring and reporting tool such as OpenView, Nagios, Zabbix, Cacti, Munin etc
Proficiency in data analysis techniques and a willingness to learn new techniques is desired
Proven ability and aptitude to learn and implement new and appropriate open source technologies
Solid understanding of network principles and tools
Have a general knowledge of the underlying scientific principles applied to the development and manufacture of biopharmaceuticals
Excellent verbal and written communication skills in English
Basic Linux systems administration and troubleshooting
Demonstrable problem solving techniques and creative thinking

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15 Data Systems Engineer resume templates

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Engineering Data Systems Engineer Resume Examples & Samples

Collaborate with Test Engineering, YieldEngineering and Process Engineering to define a variety of data analysis/reportingtools. Then develop, deploy and supportthe desired set of tools
Design, develop and deploy a database schema capableof meeting the needs of the organization with high reliability, anticipatingthe organization’s growth over the next 5 years
Specify, acquire, configure and deploy therequired computer hardware & software
Support deployment of Engineering Data Systems serversand data analysis/reporting tools to other MACOM sites and contractmanufacturing partners, both domestic and overseas
Ensure data systems’ high reliability throughprediction, prevention and protection
Respond to and support database “crash events”, applyingrapid reloading/rebuilding strategies
Establish, document and comply with hardware andsoftware configuration standards, including the database schema, programmingconventions, version control and revision tracking
Implement robust monitoring systems and methodologiescapable of quickly detecting and correcting abnormal system condition/performancebefore it impacts users or other systems
Track and drive metrics such as system uptime,server loading, application utilization & help requests opened/closed
BS in EE, CS or other technical discipline and aminimum of 6 years of experience developing databases and programming dataanalysis/reporting tools to support engineers. Candidates with more advanced degrees and/ormore experience are preferred
Detail oriented with strong fundamentals indisciplined programming methodologies
Advanced knowledge and practical experience withPC hardware, database design and open source software (e.g. Linux, Apache,MySQL, Perl, graphic libraries) and web programming
Advanced knowledge & practical experiencewith both Linux & MS Windows Server
Advanced knowledge & practical experiencewith MySQL and Oracle or MS SQL Server
Advanced skills and knowledge programming in C,C++, C#, Perl and/or Java, both stand alone and within .NET framework,specifically to support queries, applications and web presentation
Excellent verbal and written “360 degree”communication skills
Initiative to address and appropriately escalateproblems to achieve rapid resolution
Ability to work effectively with engineeringpeer groups such as Test Engineering, Yield Engineering and Process Engineeringin a dynamic, collaborative and results oriented environment
U.S. citizenship and the ability to travelwithin the US and internationally occasionally
Candidates with the qualifications above, plus aminimum of 2 years of experience as a Test Engineer or Yield Engineer in asemiconductor fabrication environment are highly desirable

Manager, Data Systems Engineer Resume Examples & Samples

Develop roadmaps and participate in the standards process for Data Solutions
Partner with architecture teams to develop solution designs
Maintain deep technical and business knowledge of industry directions and trends in the area of system engineering
Drive to deliver technology and products in the roadmap on schedule and with the highest quality
Provide advice, guidance and direction to carry out plans and procedures, ensuring schedule attainment, product development process adherence, performance and budget targets are met
Provide last tier support for operations and support teams, including root cause analysis and preventative analysis
Minimum five years of experience working in an IT environment with at least three years managing and supporting projects
Bachelor's degree in computer science or related discipline from an accredited college or university
Extensive experience with relational databases including SQL Server and Oracle 11g
Ability to analyze and deploy proof-of-concepts in a lab environment using data centric technologies
Ability to engineer solutions in database high availability solutions including Windows clustering, Oracle RAC, and scale out architectures; common database designs including OLTP, reporting, and OLAP; big data processing and analytic technologies including Hadoop, R, and stream processing; standard and ad hoc reporting solutions; ETL and MDM data management tools; dashboard and visualization technologies; and structured and unstructured search technologies

Big Data Systems Engineer Resume Examples & Samples

Bachelor's degree (or higher) in Engineering or a Natural Science (Physics, Mathematics, etc) or similar major
Five (5)+ years of similar experience
Strong skills in Linux administration (CentOS/RedHat preferred)
Experience with deployment and configuration of the Hadoop Ecosystem
Understanding of Continuous Integration (CI) and DevOps practices and technologies for multi-node deployment (Jenkins, Puppet, etc)
Previous experience with Git and other Configuration Management Tools
Ability to solve new problems in creative ways and collaboratively

Big Data Systems Engineer Resume Examples & Samples

Understand the challenges of building and managing large scale systems
Understand the challenges of working across data centres
Understand which technologies work in a multi-tenant environment and which do not
Deploy and test out new technologies like Kylin, Apex and NiFi
Lead with a positive attitude and by example
Linux administration (RHEL/CentOS 7 preferred)

Data Systems Engineer Structural Strength Test Resume Examples & Samples

Development and operational experience with National Instruments hardware and software, specifically the PXI and SCXI modular test systems (e.g. configure the span and gain)
Software development experience on large scale projects, specifically Labview, Visual Basic, and C++
Expertise of Microsoft Office Suite including Access database management, Excel VBA macros and add-in development
Knowledge of ¼ bridge, ½ bridge, and full bridge instrumentation sensors and signal conditioning circuits
Operational experience of data system setup for various sensor types (strain gauges, thermocouples, flow meters, load cells, pressure transducers, LVDT’s)
The ability to perform engineering unit conversions (uniaxial, biaxial, and Rosette stress and strain measurements; solve polynomial equations)
Experience in troubleshooting instrumentation circuits and using digital multi-meters, oscilloscopes, and waveform generators
Optical measurement and position systems such as Leica, Boeing Photo G, or Correlated Solutions Video Image
Configuration and maintenance of Windows Server 2008 and 2013
Configuration and maintenance of Netgear ProSafe network hardware
Previous test operations experience at MSFC, preferably in structural testing

Cyber Data Systems Engineer Resume Examples & Samples

Designs and codes software components, units, and modules that meet product specifications and development schedules
Tests and debugs assigned components and units
Participates in large system and subsystem planning
Collaborates with hardware engineers on machine characteristics that affect software systems and works with them to resolve incompatibilities
Writes and updates technical documentation such as user manuals, system documentation, and training materials

Data Systems Engineer Resume Examples & Samples

Bachelors degree in Electrical, Mechanical, Aerospace or Systems Engineering or related discipline (Computer Science, Math, Physics, Chemical Engineering)
Minimum 5 of years in Electrical/Mechanical/Aerospace engineering required
Minimum 2 years of experience programming with LabView
Minimum 2 years in an aerospace or related industry product testing environment
Due to Export compliance Program requirements, US Citizenship or US Lawful permanent resident status is required
Familiarity with facility controls, safety shutdown, and data acquisition systems
Experience with National Instruments Labview
Experience in Matlab Simulink
Experience taking test requirements and designing a reliable test system, defining internal requirements for control, instrumentation and data acquisition equipment required for the total test system. Project management experience preferred
Ability to work under minimal supervision, with latitude for independent action and decision making, strong bias for action and task/role ownership behaviors

Engineering Data Systems Engineer Resume Examples & Samples

Collaborate with Test Engineering, Yield Engineering and Process Engineering to define a variety of data analysis/reporting tools. Then develop, deploy and support the desired set of tools
Design, develop and deploy a database schema capable of meeting the needs of the organization with high reliability, anticipating the organization’s growth over the next 5 years
Support deployment of Engineering Data Systems servers and data analysis/reporting tools to other MACOM sites and contract manufacturing partners, both domestic and overseas
Ensure data systems’ high reliability through prediction, prevention and protection
Respond to and support database “crash events”, applying backup/rebuilding/redundancy strategies
Establish, document and comply with hardware and software configuration standards, including the database schema, programming conventions, version control and revision tracking
Implement robust monitoring systems and methodologies capable of quickly detecting and correcting abnormal system condition/performance before it impacts users or other systems
BS in EE, CS or other technical discipline and a minimum of 3 years of experience developing databases and programming data analysis/reporting tools to support engineers
Detail oriented with strong fundamentals in disciplined programming methodologies
Advanced knowledge and practical experience with database design and open source software (e.g. Linux, Apache, MySQL, Perl, Python, graphic libraries) and web programming
Advanced knowledge & practical experience with Linux or MS Windows Server
Advanced knowledge & practical experience with MySQL or MS SQL Server
Advanced skills and knowledge programming in SQL, PHP, Perl, Python, and/or Java to support ETL, database queries, reports/applications and browser based presentation
Excellent verbal and written “360 degree” communication skills
Initiative to address and appropriately escalate problems to achieve rapid resolution
Ability to work effectively with engineering peer groups such as Test Engineering, Yield Engineering and Process Engineering in a dynamic, collaborative and results oriented environment
U.S. citizenship and the ability to travel within the US and internationally occasionally
Candidates with the qualifications above, plus a minimum of 2 years of experience as a Test Engineer or Yield Engineer in a semiconductor fabrication environment are highly desirable

Big Data Systems Engineer Resume Examples & Samples

Interface with key site and business stakeholders globally to ensure detailed and robust analysis and alternatives are generated
Develop data pipelines for large volume of data that is fast and reliable in a Big Data platform. Develop Big Data analytic solution to analyze and link multiple data-source in the Big Data platform
Identify new data-source in the network that will create new insights to business needs
Develop data analytic solutions to analyze and link Micron’s multiple data-sources in the strategic data platforms
Provide management updates on, project development roadmaps, wins and challenges in support of Yield/Quality differentiated capabilities in these areas
Knowledge with Hadoop and related packages in a multi-tenant environment such as MapReduce, Yarn, Hive QL, Pig, Sqoop, Flume, Hbase
Strong knowledge in Relational Database Systems (Oracle, MS SQL, My SQL, etc.)
Strong knowledge with the following scripting languages: UNIX, Java, C#, perl, python, PHP, C/C++
Knowledge with Microsoft BI Tools (MDX, Integration Services, Analysis Services, Reporting Services, SharePoint)
Knowledge in creating Data workflow pipelines using (Oozie /UNIX Cron/ or any other tools)
Knowledge with the version control system (TortoiseSVN, GitHub)
Knowledge performance tuning of ETL and SQL queries
Knowledge in data modeling and semiconductor process/manufacturing
Understanding of the various parts of Data Life Cycle
Knowledge in any Data Visualization tools (Microsoft BI Center/Tableau)
Knowledge supporting Big Data pipelines and workflows

Data Systems Engineer Resume Examples & Samples

Contribute to the development and on-going support of manufacturing applications with the overall goal of completing clearly defined projects at BioMarin
Author System Development Life Cycle supporting documentation and tests (e.g., User Requirements, Technical Requirements, System Architecture, Design Specification, Application Configuration, Functional Requirements, User Acceptance Test)
Develop and administer system procedures for installation, monitoring, performance utilization, upgrades, backups, recovery and overall operations
Reduce issues with site specific developed software by resolving identified issues
Evaluate emerging technologies for current projects and future initiatives at BioMarin; applicable to system architecture, data management, and other similar areas
Possibly assist with off-hours monthly maintenance patching and updating activities as related to manufacturing applications or similar systems
This role is located in Novato, CA, United States and will require up to 10% travel
Desire minimum 1 year work experience in current good manufacturing practice biopharmaceutical production setting (process development and/or manufacturing technical support)
Proficiency in data analysis techniques and a willingness to learn new techniques is desired
Programming and data analysis experience in a Windows Server and IIS environments
Knowledge of Unix/Linux, shell scripting, Perl, RHEL, object-oriented programming languages, leading-edge software packages relevant to genomics research
Database server experience preferred (e.g., OSIsoft PI, MySQL, postgres, SQL Server, Oracle)
Experience maintaining web application servers is a plus (e.g., IIS, Apache, Nginx, Node)
Experience in supporting and maintaining business intelligence systems (e.g., SAS JMP, Spotfire)
Able to apply software engineering best practices to manufacturing application development
Able to build and execute project plans, and work closely with customers and IT to manage expectations
A strong communicator who can speak effectively to technical and non-technical audiences
Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail
Able to integrate feedback in a professional manner and thrives in multidisciplinary teams with members with highly diverse backgrounds

Data Systems Engineer, Entry Level Resume Examples & Samples

Acquiring/integrating data within a distributed environment (e.g., AWS, Azure, OpenStack, Hadoop)
ETL pipeline development (e.g., Java Spring, Cloudera/HortonWorks, NiFi/Kafka)
Data cleansing (e.g., Python, R)
NoSQL databases (e.g., Cassandra, CouchDB, HBase, MongoDB, Redis)
Application of basic theories, principles, methods, tools and technologies to well-defined assignments of limited scope
Perform basic tasks and activities with minimal oversight in a team environment; interact regularly with team members, principal investigators and project managers
Contribute to the technical content of proposals and technical products such as journal and conference publications and technical presentations will be expected. Must possess excellent verbal and written communication skills
Contribute to multiple projects simultaneously and work effectively in a dynamic team environment with high expectations for quality
Interest, curiosity and technical depth to support the development and advancement of a variety of applied problems specific to the national security community
Ability to efficiently program in multiple programming languages such as Python, Java, C, C++, Haskell or D
Technical knowledge in basic server setup and management across multiple environments – desktop, cluster, cloud, etc
Possess a “maker” and “white hat hacker” mentality - a technology generalist who thrives on learning new technologies and applying them in novel ways
Work under the technical guidance of senior staff; contribute to technical decisions and develop the technical approach for assigned work

Data Systems Engineer Resume Examples & Samples

Develop new manufacturing/production applications to collect, store, and analyze production data
Drive innovative application development to provide part/data traceability throughout the entire production process
Improve and/or create link between data on production machine controller/HMI and data collection, tracking, analysis, and reporting systems
Collect production needs/requirements and design/implement technical solutions
Support/maintain existing production applications (data entry/data tracking/local executable systems)
Bachelor’s degree in technical field (Preferred: Computer Science, EE, Computer Engineering)
Experience with various RDBMS such as SQL Server, PostgreSQL, Oracle
Experience in software/application development
Experience with structured programming in a multi-database environment
Experience with C++, C#; and/or SQL
Experience with Web development utilizing database-enabled back-ends such as PHP, and ASP.net

Big Data Systems Engineer Resume Examples & Samples

TS SCI with CI or with Full Scope Polygraph
Modern software architectures
Open source software
DevOps, Agile, or CI/CD. Experience with modern deployment /development methodologies is key to being successful in this role
Coding chops! Whether your preferred language is Go, Java, Python, Ruby or even shell, it’s important for field team members to be capable of opening an editor and reading code in order to help our customers
Strong Linux CLI experience: Familiarity with multiple distributions is a plus
Database, Data Engineering: Sila thrives on Big Data challenges. Experience with SQL, Hadoop, NoSQL, or another data access and storage technology is key
Docker Swarm or Kubernettes
Docker/Linux Container technology
Cloudera or Hortonworks
Network Security

Data Systems Engineer Resume Examples & Samples

Provide a broad spectrum of advanced and courteous consulting services to users of the National Energy Research Scientific Computing Center
Develop solutions for user problems and provide one-on-one assistance as needed
Take responsibility for managing and solving complex problems
Have frequent interactions with NERSC users to provide technical guidance
Convey user feedback and concerns to other NERSC staff
Resolve and manage consulting questions in a timely manner and follow up on longer-term problems working with vendors and other NERSC staff to implement solutions
Help users port and develop codes that will run well on energy-efficient many-core processors (for Cori[1] and future NERSC systems)
Work closely with one or more application development teams through the NERSC NESAP[2] and NESAP for Data program to help optimize their code to run well on Cori[1]
Educate and train users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences
Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies
Keep abreast of developments and research in the high-performance computing field, writing technical papers as appropriate
Collaborate with NERSC research scientists
Help install, maintain, document and support third-party applications, libraries and tools at NERSC, keeping such software up-to-date
Evaluate new software requests and assess users’ software needs
Participate in the design and running of benchmarks and other tests to evaluate new HPC technologies and ensure that NERSC systems and software are operating correctly
Assist in the procurement of new systems as needed
Take a lead role in at least one of the activities described above
Some travel may be required. (Typically, 2-4 domestic trips per year of 2-5 days per trip. There may be opportunities for international travel.)
Bachelor’s degree in a scientific field or computer science, or equivalent experience and a minimum of eight (8) years of experience in high performance scientific computing
Broad computational background, including knowledge of Unix, Fortran, C, C++, HPC algorithms, programming models, debuggers, and performance tools
Ability to work effectively with users, understand user requirements, and show initiative, tact, and judgment in developing solutions for users
Astute interpersonal skills are essential, as is an ability to work well on a team, and communicate well orally and in writing
Demonstrated ability to assume leadership roles, ability to grasp complex problems and develop solutions, and possess in-depth background in high-performance computing
Advanced degree (M.S. or Ph.D.) or equivalent experience
A background in any of the following areas

Maintenance Data Systems Engineer Resume Examples & Samples

Translate operational requirements into functional requirements
Produce top level specs and support the production of functional specifications for evolutions and / or customizations of the A400M MDS
Define operational scenarios to be proposed for system qualification and / or MDS demonstrations
Liaise with Industry Maintenance experts to anticipate A/C maintenance needs and identify “cope with” in existing MDS or translate them into requirements for future evolutions of MDS
Participation in validation and qualification process with direct contact with OCCAR and nations air forces
Support to the deployment of the MDS versions in the different customer nations
Educated to a degree level (or equivalent) in industrial or aeronautical engineering or a related discipline
3 to 5 years of experience in Information Systems requirements capture / requirements statement and support to systems / SW engineering in developing Information Systems solutions
Deep knowledge in the following functional areas: A400M engine, APU and structural health monitoring

Data Systems Engineer Resume Examples & Samples

Production experience of implementing and supporting either Hadoop or Splunk in an Enterprise environment
A Basic understanding of data governance concepts, data science and analytics, MapReduce and transactional analysis
Experience with relational databases such as PostgreSQL, MySQL and Oracle
Creation and maintenance of shell and system scripts
Hadoop and its ecosystem (HDFS, Kafka, Ambari, ZooKeeper, YARN, HBase, Hive, Tez, Oozie, Spark etc.)
Configuration management and provisioning with Puppet
NoSQL DBA experience – MongoDB, Vertica
Running applications on Slider (especially HBase)
Setting up security with Ranger policies
Tuning Hunk (Splunk on Hadoop)
Splunk 6.x and / or Hadoop in a large distributed enterprise deployment utilizing clustering and replication
Managing Splunk servers and forwarders with Splunk Deployment Server
Splunk index lifecycle management from hot to frozen
Developing Splunk apps and dashboards
Developing custom search commands in Python
Demonstrable problem solving techniques and creative thinking
Excellent verbal and written communication skills in English
Scripting with Python and Bash
Strong working knowledge of at least one system monitoring and reporting tool such as OpenView, Nagios, Zabbix, Cacti, Munin etc
Solid understanding of network principles and tools
Proven ability and aptitude to learn and implement new and appropriate open source technologies
Basic Linux systems administration and troubleshooting
Setting up and administering Hadoop clusters
Configuring and tuning YARN/HDFS/HBase/Spark
Monitoring and finding bottlenecks in Hadoop clusters
Basic software development with PHP, Java, Python or Ruby
Development tools such as Subversion, Git
Knowledge and experience with LDAP & AD authentication integration
Analytical, statistical and mathematical competencies

Manufacturing Data Systems Engineer Resume Examples & Samples

Designs enhancements, updates, and programming changes for portions and subsystems of end-user applications software running on local, networked, and Internet- based platforms
Analyzes design and determines database, coding, programming, and integration activities required based on specific objectives and established project guidelines
Participates as a member of project team of other software applications engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned applications portion or subsystem
Collaborates and communicates with internal and outsourced development partners regarding software applications design status, project progress, and issue resolution
Typically 0-4 years experience
Basic SQL skills (beginner to intermediate): including the ability to check that data is flowing to DB, ability to help inexperienced end users with their queries, ability to read and understand stored procedures, understand what deadlocks and timeouts are
Relational thinking (intermediate): given a set of data, understand the linkages, and learn the relationship between tables of data
Java (beginner to intermediate): Write intermediate java code, eclipse, debugger, Java swing, SWT or other front end experience
C# (beginner to intermediate): Intermediate or beginner GUI programming, experience with Visual Studio
Windows Skills (beginner to intermediate): Possible experience with Windows Server 2008, 2012, ability to know there is a problem, articulate the problem, and test when it is fixed
Linux (beginner to intermediate): Ability to do most basic command line commands - top, mkdir, chmod, chown, yum, service .
Messaging (beginner to intermediate): Experience with JMS, RabbitMQ, Tibco Rendezvous, MSMQ or some other messaging bus
Designing software applications running on multiple platform types
Software applications testing methodology, including execution of test plans, debugging, and testing scripts and tools
Strong written and verbal communication skills; mastery in English

Data Systems Engineer Resume Examples & Samples

2+ years of experience working in a data engineering, systems engineering, or software development role
Bachelor’s in Computer Science or related technical field
2 years: Experience working in data engineering, systems engineering, or software development

Test Data Systems Engineer Resume Examples & Samples

Interface with test customers to establish test requirements for the instrumentation and data system working closely with Test Directors
Responsible to identify required data system improvements, and coordinate upgrade and checkouts activities
Oversee the analysis and verification of test data and subsequent data report generation
Develop and lead a multi-disciplinary team of engineers and data system support staff
Coordinate staff work assignments, track their progress and help eliminate roadblocks
Ensure Instrumentation Engineers develop and maintain system documentation and perform necessary configuration management
Coordinate activities to prepare and check-out instrumentation and data systems to support tests in the NFAC
Assess group needs and coordinate group resources to optimize efficiency and productivity. Assess and manage risks related to data system upgrade projects
Oversee Data System Group annual budget
Foster a strong safety culture amongst team members to sustain an injury and incident free workplace
Participate in and foster a work environment that is based upon openness, trust, communication, teamwork, empowerment, innovation, and satisfaction
Be a sounding board for addressing concerns and troubleshooting problems
Develop process and procedure documentation as required
Ensure clear goals and expectations are communicated and followed within the team
Review performance and write annual reviews for staff
It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy
B.S. degree in Electrical Engineering (or a closely related discipline) plus 12 years progressive and relevant experience
Post-graduate education in engineering or business management/administration will be helpful, but not required
The working environment is highly dynamic and will require managing several different projects simultaneously
Position requires demonstrated leadership ability as evidenced by prior work experience, including skills for directing and motivating a multidisciplinary staff of technicians and engineers.Strong oral and written communication skills are required
Good familiarity with general instrumentation equipment & practices standard to the instrumentation industry
Must have the ability to be technically conversant with experts in the fields of instrumentation, data acquisition, and process controls
Technical competence and at least 10 years’ practical experience in instrumentation or controls engineering in support of major test facilities or heavy industry
Working knowledge of safety, security, environmental and quality procedures and requirements for instrumentation systems
General knowledge of configuration management principles

Machine Learning / Data Systems Engineer Resume Examples & Samples

Fundamental Understanding of Machine Learning approaches to Computer Vision and Optimal Control
Solid Python and C++ programming skills
Strong Familiarity with AWS services such as EC2, SNS, SQS,S3 and RedShift
Experience with CrowdSourcing Platforms such as Mechanical Turk
Experience with SQL and Non-SQL Database Coding
Full-stack web development skills
Experience with version control, artifact repositories

UC Data Systems Engineer Resume Examples & Samples

Produce technical design guides for network deployments
Create IP, VLAN and security templates for customer review
Write System Acceptance Test, Method of Procedure, Security and System Cutover Plans
Maintain currency as it relates to industry training and certifications
Engineer and manage deployment of systems networks
Engineer and manage any changes in requirements
VTC Experience a plus
Strong organizational skills and time management
Proficiency with Microsoft Office (Outlook, Project, Visio, PowerPoint, Word etc.)
Detail oriented and able to multi-task effectively
Works well under pressure and in time constrained environments
Ability to make technical presentations to customers
Ability to prepare written documents describing technical features and capabilities of solutions including equipment hardware, software, applications, etc
Knowledge of Avaya, Brocade, Cisco, HP, Juniper, etc. data switches and routers
Knowledge of network monitoring and management systems, such as CA Spectrum, Brocade IronView, CiscoWorks, HP OpenView, Sniffer, etc
Knowledge of VPNs, firewalls and intrusion detection/prevention hardware
Knowledge of Government technical requirements related to telecommunications, such as the Joint Interoperability Test Command (JITC) Unified Capabilities Approved Products List (UC APL), DODI 8500.2 Information Assurance (IA) Implementation, Security Technical Implementation Guides (STIGs), etc
Knowledge of Avaya, Cisco, Genband, and NEC Unified Communications platforms is desired
Knowledge of Ciena, Fujitsu, Tellabs, etc. optical transport systems is desired
Knowledge of Unified Messaging, Automated Call Distribution, Telephony Firewall, Passive Optical Networking (PON), Conference Bridge and Infrastructure design is desired
Knowledge of network virtualization and cloud computing technologies and concepts
Experience and/or working knowledge within the cloud computing and virtualization constructs

Data Systems Engineer Resume Examples & Samples

The Data & Information team as a whole
Project managers, BAs, test team and infrastructure teams
The Architecture team and wider IT delivery teams
Have an awareness of the need for data quality and issues affecting data quality in data management systems
Have an appreciation of the need for good data management and the implications on delivered solutions
Support of business critical data integration processes
Provide ad-hoc support to the business where data integration solutions are required
Adhere to change controls and software development lifecycle policies
Has a thirst for knowledge and is a self-starter seeking to develop themselves and their team for the benefit of the business
A natural problem solver, working in a logical manner to overcome obstacles
Willing and able to acquire new skills to adapt in a changing environment
Recent experience working as part of an ETL or data warehouse development team
Recent experience working with relational databases, including database design and performance tuning
Recent experience working with data integration tools