Company Name:-
GE Healthcare

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Job Description Summary
Staff Data Engineer is the bridge between strategy and execution (delivering data/information assets to the business) for our Business Intelligence applications.

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: stati

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