Job Description

Job Description – Databricks Engineer

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Location: Andheri, Mumbai

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Employment Type: Full-Time | Work from Office

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Experience: 5–7 Years

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Function: IT

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Industry: Pharmaceutical

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About the Role

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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.

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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.

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Experience in the pharmaceutical industry or pharma business processes will be an added advantage.

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Key Responsibilities

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




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- Troubleshoot data pipeline issues and proactively identify opportunities for process and performance improvements.
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- Contribute to data engineering standards, best practices, documentation, and continuous improvement initiatives.
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Required Skills & Expertise

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- Strong hands-on experience with Databricks and Apache Spark.
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- Advanced proficiency in Python, PySpark, and SQL.
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- Strong understanding of Delta Lake, Lakehouse architecture, Medallion architecture, and data modelling.
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- Experience working with Databricks Notebooks, Clusters, Jobs, Workflows, and SQL Warehouses.
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- Good understanding of Azure cloud data services, including storage, identity, networking, and security.
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- Experience with Azure Data Factory, Airflow, dbt, Git, and CI/CD.
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- Knowledge of Unity Catalog, data governance, lineage, data quality, and performance tuning.
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- Strong analytical and problem-solving skills.
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- Good communication and stakeholder-management skills.
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- Ability to work effectively in a full time work-from-office environment.
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Experience & Qualification

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Years of Experience: 5–7 Years

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Relevant Experience: Minimum 3–5 years of hands-on data engineering experience, including Databricks implementation and delivery.

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Educational Qualification:

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- BE / B. Tech. / MCA in Computer Science, Information Technology, Engineering, or a related discipline.
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Additional Qualification:

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- Databricks certification is preferred.
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- Experience or knowledge of pharmaceutical processes and business functions will be an added advantage.
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What We Offer

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- Free Gym Facility – Supporting employee health and wellness.
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- Subsidized Food – Convenient and affordable meals at the workplace.
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- Opportunity to Work on Meaningful Data Initiatives – Exposure to enterprise-scale data engineering, analytics, and digital transformation projects.
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- Collaborative Work Environment – Work alongside experienced technology and business teams on impactful projects.
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📌 Databricks engineer (Mumbai)
🏢 Ajanta Pharma
📍 Mumbai