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General Electric Staff Data Engineer in Bengaluru, India

Job Description Summary

As a Staff Data Engineer, you will bridge between strategy and execution, delivering Big Data Solutions to the Life Care Solutions Business. In this role you are expected to work with other architects and business subject matter experts to produce and manage business information and conceptual models, logical abstractions, Entity-relationships and physical data designs to efficiently move data across the data value chain (from ingestion to consumption and disposition).

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and Responsibilities

In this role, You will

  • Design & 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 or sensor generated data and target data repositories

  • Design & 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

  • Build a variety of data loading & data transformation methods using multiple tools and technologies.

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

  • Manage 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 changes to downstream systems/products and recommend alternatives to minimize the impact.

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

Education Qualification

  • Bachelor’s Degree in computer science or related scientific discipline.

  • 10+ years of experience with data design, data warehousing, and data modeling & Data Architectures.

  • Experience in several of the following disciplines: statistical methods, data modeling, ontology development, semantic graph construction and linked data, relational schema design.

Desired Characteristics

  • Demonstrated experience with ETL(Extract, Transform & Load ) pipelines while working with Big Data Technologies.

  • Experience coding with scripting languages (R or Python or Scala) to do basic data manipulation and mathematical computations.

  • Demonstrated SQL and data modeling proficiency. Experience with data modeling tools such as, ER*Studio and Erwin or TOAD

  • Experience in one or more cloud-based data solutions. Knowledge of Azure Data Factory, Azure Data Bricks , Azure Data Lake & BI Visualization tools (Tableau) is preferred.

  • Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)

  • Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL.Exposure to unstructured datasets and ability to handle XML, JSON file formats

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. 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.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.


Additional Information

Relocation Assistance Provided: Yes