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 solid 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.

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