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Sr Data Engineer

  • GE Capital
  • Experienced
  • Posted 1/23/2017 11:14:00 AM
  • 2757923
  • Job Function: Information Technology
  • Business Segment: Capital Treasury
Location(s): United States ; Michigan; Van Buren Township

About Us:
GE {NYSE: GE} works on things that matter - The best people and the best technologies taking on the toughest challenges. GE operates in over 160 countries and employs more than 300,000 people worldwide, finding solutions in energy, health and home, transportation and finance to build, power, move and cure the world. Not just imagining, Doing.
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 Data Engineering team helps solve our customers' toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Lead Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.

Essential Responsibilities:
As a Sr Data Engineer, you will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:
  • Be proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one. Proficient in multiple ETL /MDM tools.
  • Implement Data warehouse & Big/Small data designs with automated MDM and data quality capabilities.
  • Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
  • Integrate domain data knowledge into development of data requirements.
  • Look across multiple systems, understands the purpose of each system and defines data requirements by systems.
  • Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc).

    Basic Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 years of experience as data engineer
  • A minimum of 2 year of experience using Informatica, Postgresql, greenplum is required
  • A minimum of 2 year of experience using Oracle or MS SQL server
  • A minimum of 1 years of experience with data virtualization tools (Denodo or Informatica DV or Composite)
  • A minimum of 1 year of experience working on linux/unix shell scripting and scheduling tools like Appworx or Autosys

    Eligibility Requirements:

  • MUST be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
  • MUST submit application for employment through COS (internal candidates) or (external candidates) to be considered for this position.
  • MUST be at least 18 years of age.
  • MUST be willing to comply with pre-employment screening, including but not limited to, drug testing and background check.
  • MUST be willing to travel up to 10% of the time.
  • MUST be willing to work out of the Van Buren Township, MI office.

    Legal authorization to work in the United States is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

    Desired Characteristics:
    Technical Expertise:
  • Primary role in recent positions must be as a Lead Data Engineer or Senior Data Engineer
  • Ability to leverage data assets to respond to complex questions that require timely answers
  • Basic level knowledge in area of modeling expertise (e.g., data, physics, or domain driven). Aware of basic forms of modeling and how they apply to different types of data (e.g., text, voice, image, survival, time dependent, etc.)
  • Conducts exploratory data analysis and generates visual summaries of data. Identifies data quality issues
  • Actively identifies needs for novel methods/tools and works with team to invent as necessary. Validates new tools and methodologies

    Domain Knowledge:
  • Demonstrates knowledge of business' structure (P&Ls) & the levers that support the business goals
  • Offers data solutions as a method to achieve bus objectives. Knowledgeable about pricing and cost drivers for Services model(s) of their business; aware of services models of other GE businesses
  • Understands basic functionality and interoperability of product modules / components
  • Does a comparison analysis of trends, implements action towards new direction/trend
  • Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize incremental cost of development

  • Works effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understands the interconnections between them
  • Uses teamwork skills to achieve goals, solve problems, and manage conflict
  • Understands strengths and weaknesses of team members, and consistently leverage these to achieve goals
  • Creates a trusting and cooperative environment fostering creativity and knowledge sharing
  • Identifies multiple solutions & provides in depth scenario analyses
  • Identifies and explores alternative solutions. Effectively transitions the solution creation process into action. Identifies solutions that can be proven as both feasible and efficient for creating business value. Prioritizes effectively
  • Demonstrated awareness of presentation and influencing skills

    Personal Attributes:
  • Asks appropriate questions needed to translate an abstract problem into a quantifiable analysis for identifying solutions
  • Seeks out processes and ideas that are out of the norm
  • Continuous leaner
  • Demonstrated awareness of how to succeed in ambiguous circumstances

    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.
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