Senior Data Engineer
Job Summary
To support healthcare digital innovation, the full-time Senior Data Engineer will design and maintain scalable ETL pipelines and data processing workflows using Databricks, PySpark, and cloud technologies in a remote environment.
Key responsibilities
- Design, develop, and maintain scalable ETL pipelines and data processing workflows
- Build and optimize data ingestion frameworks for processing structured and unstructured data
- Develop complex SQL queries and perform data analysis to support business and reporting requirements
Required qualifications
- 10+ years of experience in data engineering and ETL development
- Strong experience with AWS/Azure Databricks and Spark (PySpark)
- Proficiency in Python, SQL, and data warehouse concepts
- Engineering degree (BE/ME/BTech/MTech/BSc/MSc) or equivalent
- Technical certification in multiple technologies is desirable
Complete Job Description
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