Data Engineer – Databricks

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

Hiring: Data Engineer – Databricks |

Location: Pune - Hybrid

Experience: 4- 8+ Years (Experience less that 4 years not eligible)

Skills: Databricks | Spark | AWS | Delta Lake | Terra Forms

Employment Type: Full-Time

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

4 - 8 years of experience in Data Engineering and Databricks.

Strong hands-on experience with Databricks on AWS

Advanced knowledge of Apache Spark (PySpark preferred)

Experience with Terraform (IAC), Delta Lake, SQL, and Python

Solid understanding of cloud-native data architectures on Databricks & AWS

Experience building scalable, production-grade data pipelines

Strong problem-solving and communication skills.

Nice to Have

Experience with Unity Catalog and data governance

Familiarity with CI/CD pipelines and DevOps best practices for data solutions.

Familiarity with Terraform, dbt, or Airflow

Databricks certification (preferred, not mandatory)

Why Join Us?

Work on large-scale data platform modernization

Hands-on ownership of Databricks Lakehouse architecture

Opportunity to work closely with AI/ML and advanced analytics teams

Strong engineering culture with growth and learning opportunities

Founded in 1940, Air Products is a world-leading industrial gases company and has a proud history of innovation, operational excellence, with an unwavering commitment to safety and environmental stewardship. Working together, we are taking our passion and diverse backgrounds forward to reimagine what’s possible and generate a cleaner future for our customers, our communities, and the world.