General Electric Sr Staff Data Engineer in Evendale, Ohio

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 Sr. Staff 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:

The Sr Staff Data Engineer will be part of a data engineering or cross-disciplinary team on internally and 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. The Sr Staff Data Engineer will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division Aviation outcomes. In addition, the Sr Staff Data Engineer will:

  • Establish a framework to promote data quality and query optimization across the datalake

  • Acquire domain Subject Matter Expertise (Supply Chain, Engineering, etc.) across IT systems by working closely with business partners, documenting learnings centrally

  • Write complex SQL (100’s of lines) that is able to transform, pivot, and stitch big data sets, both relational and non-relational

  • Write custom scripts in Python, Java, R or Spark to transform and pivot data

  • Integrate domain data knowledge into development of data requirements

  • Look across multiple systems and understand the purpose of each system and define data requirements by system

  • Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)

  • Operationalize and scale data science algorithms to extremely large datasets

  • Optimize existing data architectures and queries to scale across terabytes of data for visualization or application consumption

  • Architect and model to-be data structures based on customer requirements

  • Operate in Agile framework, creating user stories from and tasks from customer requirements to track project progress Qualifications/Requirements: Basic Qualifications:

  • Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)

  • Minimum of 8 years of professional experience as a data engineer, including at least 5 years experience in SQL databases (PostgreSQL, Oracle, etc.)Eligibility Requirement:

  • 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. Desired Characteristics:

  • Hands-on experience with NoSQL data architectures (Cassandra, MongoDB, HBase, etc.)

  • Demonstrated experience working in a large-scale, MPP/OLAP data warehouse environment (Greenplum, Teradata, etc.)

  • Demonstrated experience using Data Analytics languages (R, Python and associated statistical packages)

  • Experience with Agile project delivery frameworks

  • Hands-on experience with streaming data architecture (Spark Streaming, message queues, etc.)

  • Exposure to and ability to execute analytics packages at scale in Python, R, Spark/MLlib

  • Familiarity with Hadoop data flow tools (Sqoop, Flume, Nifi, etc.)

  • Familiarity with Hadoop workflow tools such as Oozie

  • Experience with enterprise data visualization technologies (Tibco Spotfire, Tableau, etc.)

  • Experience with Amazon Web Services data technologies (RDS, Kinesis, QuickSight, etc.)

  • Familiarity with text search and mining technologies (Solr, ElasticSearch, Lucene, etc.)

  • Self-driven to learn new technology and build technical skill setsBusiness Acumen:

  • Demonstrates the initiative to explore alternate technology and approaches to solving problems

  • Skilled in breaking down problems, documenting problem statements and estimating efforts

  • Has the ability to analyze impact of technology choices

  • Skilled in balancing value propositions for competing stakeholders.#DTR 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. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . 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. Locations: United States; Ohio; EvendaleGE will only employ those who are legally authorized to work in the United States for this opening.