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GE Power is a world leader in power generation with deep domain expertise that helps customers deliver electricity from a wide spectrum of fuel sources. We are transforming the electricity industry with the digital power plant, the world’s largest & most efficient gas turbine, full balance of plant solutions and our data-leveraging software. Our innovative technologies and digital offerings help make power and water more affordable, reliable, accessible and sustainable.
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: As part of a data engineering team involving large, complex digital marketing and commercial data sets. The team includes data scientists, software developers, marketing managers, engineers, product managers, and end users, working in concert across GE Power business units. The Sr Data Engineer is ultimately responsible for the integration, maintenance, and governance of customer data that enables the generation of incremental sales pipeline, nurture of prospective opportunities to active deals.
The Sr Data Engineer will:
Own the digital marketing data warehouse & and overall data management and governance strategy.
Partner with sales, digital and strategic marketing teams to understand data requirements and build required views into data sets.
Collaborate with architecture/operations teams to ensure maximum scalability, reliability, performance, and security of solutions. Accountability for data quality and report performance.
Identify customer/digital marketing data sources and define requirements by system
Build roadmaps to ingest and transform data sets
Drive data use downstream to gain deeper customer intelligence, prioritize or accelerate pipeline, and improve customer experiences.
Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc).
Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Be Proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one.
Proficient in multiple ETL /MDM tools.
Manage agencies & project team resources to deliver solutions
Manage total cost of ownership (i.e. budgets, contracts) associated with program(s) or initiatives
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 Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra is required
A minimum of 2 year of experience using Scripting (Pig, Python, Perl, etc) is required
A minimum of 2 years of experience with Core Java, Java WebServices development SOAP, REST APIs
A minimum of 1 year of experience working on Database(s), SQL is required
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
Must be willing to work out of an office located in Atlanta, GA
Ability and willingness to travel up to 25%, as required
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
Proficient in designing and implementing optimal data structures (data modeling). Aware of basic forms of modeling and how they apply to different types of data (e.g., text, voice, image, survival, time dependent, etc.).
Transforms data sets based on business needs using ETL tools and SQL/scripting languages.
Conducts exploratory data analysis and generates visual summaries of data in Tableau.
Identifies and manages resolution of data quality issues.
Actively identifies needs for novel methods/tools and works with team to invent as necessary.
Validates new tools and methodologies.
Demonstrates knowledge of business' structure (P&Ls) & the levers that to support the business goals.
Offers data solutions as a method to achieve and monitor bus objectives. Knowledgeable about digital marketing data (customer behaviors, marketing automation, CRM, campaign, etc).
Ability to establish scalable processes and governance plan to ingest, transform, and integrate digital marketing data sets into a centralized database.
Conducts and clearly explains comparison analyses of trends, implements action towards positive trend.
Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize total cost of ownership.
Translates business goals into measurement plans and reporting requirements that includes objectives, KPIs, baselines, and targets.
Works effectively with multi-disciplinary teams (e.g., UX, GE Business teams, external vendors) 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 ability of presentation and influencing skills
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