Job DescriptionData Engineer – Databricks | Pharma Domain Location: India (Remote) Experience: 4+ Years Employment Type: Contract / Full-Time Domain: Pharma Domain – Mandatory Job Summary We are looking for an experienced Data Engineer with strong hands-on experience in Databricks, PySpark, SQL, CI/CD, and Version Control .

The ideal candidate should have experience working on Pharma domain projects and be comfortable developing and maintaining scalable data pipelines.

Key Responsibilities Design, develop, and maintain data pipelines using Databricks .

Work with Databricks Notebooks and Databricks Pipelines for data processing and transformation.

Develop data transformation and processing workflows using PySpark .

Write optimized SQL queries for data extraction, transformation, and analysis.

Build and maintain reliable ETL/ELT pipelines for large datasets.

Implement data quality, validation, and error-handling processes.

Work with CI/CD pipelines for deployment and release management.





Use Git/version control for source-code management and collaborative development.

Collaborate with business and technical teams to understand data requirements.

Follow security, governance, documentation, and data engineering best practices.

Mandatory Skills Pharma Domain Experience – MUST Databricks – MUST Databricks Notebooks Databricks Pipelines PySpark – Strong/basic hands-on experience SQL – Solid CI/CD Git / Version Control Strong understanding of ETL/ELT and data pipeline development Preferred Experience with cloud platforms such as Azure / AWS Experience working with large-scale datasets Understanding of data quality and data governance Experience working in Agile development environments Important Candidates must have direct Pharma domain/project experience.

Healthcare or non-Pharma experience will not be considered.

📌 Data Engineer - Databricks | Pharma Domain(Must) (India)
🏢 Virtual Labs
📍 India