Senior Data Engineer
GE HealthCare (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build data engineering automations including low code/no code solutions to accelerate development cycle time.
- Develop and implement ETL jobs, including data profiling, data mapping, and validation to support analytical and reporting solutions.
- Manage metadata structures and provide post-deployment support for data science outcomes.
Minimum Requirements
- Bachelor's Degree in Computer Science or equivalent.
- Minimum 5+ years of hands-on experience in data engineering.
- Hands-on experience with AWS services (Redshift, Glue, RDS, Step Functions, S3, SageMaker, Kinesis), SQL on Oracle/MySQL/PostgreSQL, Python, Unix.
- Experience in data warehousing, big data, ETL tools (Matillion or Informatica), and handling OLTP and OLAP data models.
Ideal Candidate Profile
- Proficient in metadata management, data modeling methodologies, master data management, and data lineage techniques.
- Experienced with industrial/commercial data domains including ERP, CRM, finance, and accounting data.
- Capabilities to partner with cross-functional teams, drive technical solutions aligned with business outcomes, and communicate project status effectively.