Job Description – Databricks Engineer
Location: Andheri, Mumbai
Employment Type: Full time | Work from Office
Experience: 5–7 Years
Function: IT
Industry: Pharmaceutical
About the Role
We are looking for an experienced Databricks Engineer to join our Data Engineering team and play a key role in designing, developing, and optimizing scalable data solutions.
The ideal candidate will have strong hands-on experience with Databricks, Python, PySpark, SQL, Apache Spark, and Azure cloud data platforms , along with a solid understanding of modern data architecture, governance, and data engineering best practices.
Experience in the pharmaceutical industry or pharma business processes will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable and reliable data engineering solutions using Databricks, Python, PySpark, SQL, and Apache Spark .
- Build and optimize Databricks notebooks, clusters, Jobs, Workflows, and SQL Warehouses .
- Develop efficient data pipelines and transformation frameworks for large-scale data processing.
- Work with Delta Lake,



Lakehouse architecture, Medallion architecture (Bronze, Silver, Gold) , and modern data-modeling practices.
- Optimize Spark jobs, queries, clusters, and data pipelines for performance, scalability, and cost efficiency .
- Develop and maintain data pipelines using Azure Data Factory, Airflow, and dbt .
- Work with Azure storage, identity, networking, and security services to build secure and scalable data solutions.
- Implement and manage Git-based version control and CI/CD pipelines for data engineering workflows.
- Work with Unity Catalog for data governance, access management, lineage, and discoverability.
- Ensure data quality, reliability, security, and compliance across data pipelines and platforms.
- Collaborate with business, analytics, technology, and cross-functional teams to understand requirements and deliver effective data solutions.
- Troubleshoot data pipeline issues and proactively ide

📌 Databricks engineer (India)
🏢 Ajanta Pharma
📍 India