Data Engineer – Databricks

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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).

Requirements

• 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