Lead Data Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Tue, Oct 06, 2026
This job expires in: 30 days
Job Summary
To support innovative healthcare solutions, the full-time remote Lead Data Engineer will design and maintain scalable ETL pipelines and data processing workflows using Databricks, PySpark, and cloud technologies.
Key responsibilities
- Design, develop, and maintain high-performance ETL pipelines and data processing workflows
- Build and optimize data ingestion frameworks for large volumes of 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
- Engineering degree (BE/ME/BTech/MTech/BSc/MSc) or equivalent
- Strong experience with AWS/Azure Databricks and Spark (PySpark)
- Proven ability to build scalable and high-performance data processing frameworks
- Hands-on expertise in SQL and data warehouse concepts
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