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General Electric Sr Data Engineer | Remote to Start in Atlanta, Georgia

Job Description Summary

Responsible for designing, developing, testing and implementing data engineering processes to generate analytical and reporting solutions. Responsible for analysing and preparing the data needed for analytical outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Accountable to deliver results in a timely manner using agile methodologies.

Job Description

In this role, you will:

  • Build technical data dictionaries and support business glossaries to analyze the datasets

  • Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories

  • Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions

  • Develop and maintain data mapping specifications based on the results of data analysis and functional requirements

  • Perform a variety of data loads & data transformations using multiple tools and technologies.

  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications

  • Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.

  • Analyze reference datasets and familiarize with Master Data Management (MDM) tools.

  • Analyze the impact of downstream systems and products

  • Derive solutions and make recommendations from deep dive data analysis.

  • Design and build Data Quality (DQ) rules needed

Basic Qualifications

  • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) and 4+ years of relevant experience.

  • US Work Authorization is required. We will not sponsor work visas now or in the future for this role

Desired Characteristics

Technical Expertise:

  • Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).

  • Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend

  • Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, TAMR etc., )

  • Hands-on experience in programming languages like Java, Python or Scala

  • Hands-on experience in writing SQL scripts for Greenplum, Oracle, PostgreSQL or MySQL

  • Experience with Big Data / Greenplum / Hadoop / Spark / Hive / NoSQL database engines (i.e. Mongo or Cassandra or HBase)

  • Exposure to unstructured datasets and ability to handle XML, JSON file formats

  • Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.

Domain Expertise:

  • Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.

  • Knowledge of or Exposure to finance and accounting data domains

Leadership Skills:

  • Ability to work effectively with multi-disciplinary teams and understand the inter-dependencies between them.

  • Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.

  • Demonstrate the presentation and influencing skills

Additional Information

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 conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No