At Air Products, we reimagine what’s possible. By tapping into the motivation of our people and our collective experience, we create the ideas and innovations that drive us forward. When we come together – where every voice is heard and everyone knows they belong and matter – we create solutions that launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities.

Reimagine What’s Possible

Location: Pune (Hybrid)
Experience: 8+ Years
Skills: Databricks | Spark | Azure or AWS | Delta Lake
About the Role
We are looking for a Senior Data Engineer with strong hands-on experience in Databricks to build and scale modern, cloud-native data platforms. You will work on high-impact data engineering initiatives, collaborating with analytics, AI/ML, and business teams to deliver reliable and performant data solutions.
This role will also be involved in migrating enterprise data workloads from AWS-based platforms to Databricks, contributing to our broader data modernization journey.
Key Responsibilities




Must have experience in requirement gathering, design, develop, and optimize data pipelines using Databricks and Apache Spark (PySpark).
Build and manage Delta Lake Medallion architectures.
Develop batch and streaming pipelines using Structured Streaming.
Optimize Spark workloads for performance and cost efficiency.
Implement Databricks Jobs, Workflows, and SQL.
Ingest data from various relation databases, SAP, API’s, etc into databricks.
Contribute to AWS (Glue/Redshift) → Databricks data migration initiatives.
Implement data quality, security, and governance best practices.
Collaborate with cross-functional teams and mentor junior engineers.
Required Skills & Experience
8+ years of experience in Data Engineering
Robust hands-on experience with Databricks.
Knowledge and experience on security and governance topics is a plus.
Advanced knowledge of Apache Spark (PySpark preferred)
Experience with Te

📌 Senior Data Engineer (Pune)
🏢 Air Products
📍 Pune