Role & Responsibilities

We are looking for a highly skilled and experienced Senior Databricks Data Engineer to join our data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and solutions using the Databricks Lakehouse Platform. You will work closely with data scientists, analysts, and business stakeholders to ensure reliable and productive data delivery across the organization.

Design and develop scalable ETL/ELT pipelines using Apache Spark on Databricks.

Build and maintain robust data lakes and data warehouses (Delta Lake, Lakehouse architecture).

Optimize data flows for performance, scalability, and cost-efficiency on the Databricks platform.

Collaborate with data analysts, scientists, and other engineers to integrate data from diverse sources.

Implement data quality checks, monitoring, and alerting solutions.

Develop CI/CD pipelines for data jobs and workflows.

Support the migration of legacy data systems to the Databricks ecosystem.

Contribute to data governance and security best practices

📌 Senior Data Brick Engineer (Ahmedabad)
🏢 Zenithive Systems
📍 Ahmedabad