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 – 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.