Data Engineer

Bangalore, Karnataka💼 Full-time🗓 2026-09-02 → 2026-09-25

Core

Develop, enhance, and support ETL/data transformation jobs for a global data warehouse using PySpark, IBM DataStage, and AWS.

Role type

Senior Data Engineer (ETL/Cloud)

Builds

Production data pipelines and data warehouse infrastructure

Domain

Healthcare / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

ETL development, PySpark, SQL, Python, AWS, UNIX/Linux, Control-M, root cause analysis, performance tuning

Preferred skills

IBM DataStage, Snowflake, Control-M Scheduler

Technologies

PySpark, IBM DataStage, AWS, Control-M, Snowflake, SQL, Python, UNIX

Responsibilities

Develop new ETL/data transformation jobs; enhance and support existing ETL jobs; perform technical code reviews; conduct integration testing before production migrations; provide technical support and perform root cause analysis; document technical specifications from business requirements.

Seniority

Senior, hands-on IC

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About Baxter

Baxter is committed to supporting the needs for flexibility in the workplace. We do so through our flexible workplace policy which includes a required minimum number of days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission. The flexible workplace policy is subject to local laws and legal requirements. At its discretion, Baxter may decide to adjust, suspend, or discontinue as business needs change.