Data 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 robust 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 – Robust/basic hands-on experience SQL – Strong 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 Key Candidates must have direct Pharma domain/project experience.

Healthcare or non-Pharma experience will not be considered.

📌 Data Engineer – Databricks Pharma Domain Must Mumbai
🏢 Virtual Labs
📍 Mumbai