General Electric Sr Data Engineer in Bengaluru, India
Job Description Summary
Responsible for designing, developing, testing and implementing data engineering processes to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based 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.
Roles and Responsibilities
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
For roles outside USA:
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.
For roles in USA:Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience4years
Desired CharacteristicsTechnical 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 Oracle, MySQL, PostgreSQL or HiveQL
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. 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.
Exposure to handling machine or sensor datasets from industrial businesses
Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.
Exposure to finance and accounting data domains
Ability to work effectively with multi-disciplinary teams (e.g., UX, GE Business 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
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.
*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
Relocation Assistance Provided: No