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 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 – Robust 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