Senior Data Engineer Databricks Azure Data Factory Surat

Senior Data Engineer Databricks

Experience: 6+ years (strong hands-on Databricks experience)

Location: Ahmedabad preferred (open to candidates from other locations)

Work Mode: Hybrid

Joining: Immediate joiners only

About the Role

We are looking for a Senior Data Engineer with robust expertise in Databricks. You will build and manage data pipelines on Databricks and Microsoft Azure, making sure data is clean, reliable and ready for reporting and analytics.

Key Responsibilities

Design, build and maintain data pipelines on Databricks using PySpark and SQL

Work with Delta Lake and organise data into Bronze, Silver and Gold layers

Handle both batch and streaming (real-time) data loads

Build and schedule pipelines using Azure Data Factory and Databricks Workflows

Bring in data from different sources such as databases, files and APIs

Improve pipeline performance and keep Databricks costs under control

Manage data access and security using Unity Catalog

Work with analysts and business teams, and guide junior engineers

Must-Have Skills

Databricks robust hands-on experience (Delta Lake, Workflows, Unity Catalog, performance tuning)

PySpark and SQL

Azure Data Factory

Azure Data Lake (ADLS) and Blob Storage

Data modelling, data warehousing and ETL / ELT

Git and basic CI/CD

Positive to Have

Azure Synapse, Microsoft Fabric or Power BI

Basic exposure to AI / GenAI or AI coding assistants (e.g. GitHub Copilot)

Kafka or other streaming tools

Databricks or Microsoft data engineering certification .