Databricks engineer

Ajanta Pharma Ltd; Mumbai; On-site; INR 1,400,000 - 2,100,000; Full time

Benefits offered by this job

Free Gym Facility

Subsidized Food

Meaningful data initiatives

Collaborative environment

Job summary

Ajanta Pharma Ltd in Mumbai is seeking an experienced Databricks Engineer to join our Data Engineering team and design, develop, and optimize scalable data solutions.

The ideal candidate will have strong hands-on experience with Databricks, Python, PySpark, SQL, Apache Spark, and Azure cloud data platforms, plus an understanding of data governance and architecture. Pharma industry experience is a plus, and the role is office-based in Mumbai.

Qualifications

• 5–7 years of hands-on data engineering experience with Databricks.
• Databricks implementation and delivery experience required.
• Databricks certification preferred; pharma domain knowledge is a plus.

Responsibilities

• Design, develop, and maintain scalable data solutions using Databricks.
• Build and optimize notebooks, clusters, jobs, and SQL warehouses.
• Develop data pipelines and transformation frameworks for large data sets.
• Work with Delta Lake and Lakehouse architectures for governance.
• Optimize Spark jobs for performance, scalability, and cost.
• Implement Azure Data Factory, Airflow, and dbt pipelines.
• Ensure data quality, security, and compliance across pipelines.
• Collaborate with business/analytics and cross-functional teams.
• Support CI/CD pipelines and Git-based version control.

Skills

Databricks

Python

PySpark

SQL

Apache Spark

Azure cloud data services

Git & CI/CD

Data governance

Analytical skills

Stakeholder management

Education

BE / B. Tech. / MCA in CS/IT/Engineering

Tools

Databricks Notebooks

Databricks Clusters

Databricks Jobs & Workflows

Delta Lake

Lakehouse architecture

Medallion architecture

Azure Data Factory

Airflow

dbt

Unity Catalog

Job description

Employment Type: Full-Time | Work from Office

Experience: 5-7 Years

Function: IT

Note: Experience in SAP is mandatory.

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 environment.

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.