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Staff Data Engineer

  • GE Digital
  • Experienced
  • Posted 9/19/2017 4:52:55 PM
  • 2981223
  • Job Function: Digital Technology
  • Business Segment: Digital Technology
Location(s): United States; Michigan; Van Buren Township


About Us:
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Staff Data Engineer is responsible for the requirements, development, testing, and implementation of conplex data engineering solutions.

Essential Responsibilities:

The Staff Data Engineer will:

  • Demonstrate experience in multiple data engineering platforms and work cross-functionally to maximize best practices and reuse
  • Exhibit strong knowledge of business processes and integrate domain data knowledge into development of data requirements
  • Demonstrate ability to learn new technologies and take on hands-on development work based on business priorities
  • Be responsible for design and development of complex data engineering solutions with extensive experience in multiple data engineering concepts and tools
  • Apply knowledge of data warehousing principles and processes including data modeling, logical and physical database design, transformation and loading
  • Design, profiles, develops, and tests data engineering solutions using multiple ETL /MDM tools that move data from disparate source/target systems and the enterprise information repositories
  • Demonstrate proficiency with data modeling concepts and tools (e.g., ERWin, ER Studio, etc.) to model and implement data access layers for reporting, data discovery, metadata management, and data services
  • Maintain data architectural artifacts and ensures that all measures for data quality, data profiling, data governance, ITIL, security and compliance of data are adhered to
  • Perform variety of in-depth data analysis, data modeling, and data design tasks on complicated datasets with potentially complex data integration scenarios
  • Provide operational support for the data warehousing applications, including quarantine maintenance, troubleshooting, monitoring and resolving bugs and production issues in a timely manner
  • Demonstrate proficient in SQL and ETL processes, ETL and DB performance tuning, table partitioning, shell scripting
  • Work effectively with Product Owners, and Business SME to identify requirements and drive ingestions standards consistent with business processes
  • Exhibit strong knowledge of business processes and integrate domain data knowledge into development of data requirements
  • Learn new technologies and take on hands-on development work based on business priorities

    Qualifications/Requirements:

    Basic Qualifications:

  • Bachelor's Degree in Information Systems, Information Technology (IT), Computer Science or Engineering (or a High School Diploma / GED with a minimum of 4 years of information systems design, implementation, or integration)
  • Minimum of 5 years of data engineering experience

    Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
  • Must be willing to work out of GE office located in Van Buren Township, Michigan

    Desired Characteristics:
  • 2 years of experience using Scripting (Python, Perl, Shell, etc)
  • 5 years of experience working on Database(s) like PostgreSQL, Oracle, SQL Server. SQL
  • 5 years of experience designing data model solutions for various OLTP and OLAP databases
  • Java development experience
  • Previous experience with the GE Predix platform.
  • Experience working in an Agile software development environment
  • Demonstrated ability to work effectively across functions in a matrix environment.
  • Strong interpersonal skills, including the ability to diplomatically advocate for the appropriate support staffing levels.
    Ideal candidate will also have experience presenting effectively to non-technical and executive audiences.
  • Strong analytical skills – strong problem solving skills, communicates in a clear and succinct manner and effectively evaluates information / data to make decisions; anticipates obstacles and develops plans to resolve.
  • Resourceful and quick learner; able to efficiently seek out, learn, & apply new areas of expertise as needed.
  • Highly self-motivated, able to work independently

    #DTR

    Locations: United States; Michigan; Van Buren Township

    GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

    GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.


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