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 identify opportunities for process and performance improvements. Contribute to data engineering standards, best practices, documentation, and continuous improvement initiatives. Required Skills & Expertise Strong hands-on experience with

Databricks

and Apache Spark. Advanced proficiency in

Python, PySpark, and SQL . Strong understanding of

Delta Lake, Lakehouse architecture, Medallion architecture, and data modelling . Experience working with Databricks

Notebooks, Clusters, Jobs, Workflows, and SQL Warehouses . Good understanding of

Azure cloud data services , including storage, identity, networking, and security. Experience with

Azure Data Factory, Airflow, dbt, Git, and CI/CD . Knowledge of

Unity Catalog, data governance, lineage, data quality, and performance tuning . Strong analytical and problem-solving skills. Good communication and stakeholder-management skills. Ability to work effectively in a

full-time work-from-office setting . Experience & Qualification Years of Experience:

5–7 Years Relevant Experience:

Minimum 3–5 years of hands-on data engineering experience, including Databricks implementation and delivery. Educational Qualification: BE / B. Tech. / MCA in Computer Science, Information Technology, Engineering, or a related discipline. Additional Qualification: Databricks certification

is preferred. Experience or knowledge of

pharmaceutical processes and business functions

will be an added advantage. What We Offer ️

Free Gym Facility

– Supporting employee health and wellness. Subsidized Food

– Convenient and affordable meals at the workplace. Opportunity to Work on Meaningful Data Initiatives

– Exposure to enterprise-scale data engineering, analytics, and digital transformation projects. Collaborative Work Environment

– Work alongside experienced technology and business teams on impactful projects.

📌 Databricks engineer (Mumbai)
🏢 Ajanta Pharma
📍 Mumbai