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, Py Spark, 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 Py Spark. 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 Py Spark – Strong/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 Important

Candidates must have direct Pharma domain/project experience.

Healthcare or non-Pharma experience will not be considered.

📌 Data Engineer (Madhya Pradesh)
🏢 Virtual Labs
📍 Madhya Pradesh