Job Description
Job Description – Databricks Engineer
nLocation: Andheri, Mumbai
nEmployment Type: Full-Time | Work from Office
nExperience: 5–7 Years
nFunction: IT
nIndustry: Pharmaceutical
nAbout the Role
nWe 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.
nThe 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 up-to-date data architecture, governance, and data engineering best practices.
nExperience in the pharmaceutical industry or pharma business processes will be an added advantage.
nKey Responsibilities
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- Design, develop, and maintain scalable and reliable data engineering solutions using Databricks, Python, PySpark, SQL, and Apache Spark.n
- Build and optimize Databricks notebooks, clusters, Jobs, Workflows, and SQL Warehouses.n




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

📌 Databricks engineer (Mumbai)
🏢 Ajanta Pharma
📍 Mumbai