Hiring Alert | Data Engineer ETL | Pune:

We are looking for a talented Data Engineer ETL to join our growing data engineering team and help build scalable, high-performance data platforms.

Experience: 48 Years

Mandatory Skills:

- Databricks

- DBT

- Snowflake

- ETL Development

- Apache Spark / PySpark

- Data Modeling & Query Optimization

Role Overview:

As a Databricks Developer, you will be responsible for building and maintaining robust ETL pipelines, optimizing data models, and supporting enterprise reporting and analytics initiatives. You will work on modern cloud-based data platforms while contributing to data governance and scalable architecture practices.

Key Responsibilities:

- Build, test, and maintain scalable ETL pipelines using Databricks and Apache Spark

- Develop and optimize data models and SQL queries for performance and efficiency

- Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers)

- Support data governance initiatives to ensure data quality, consistency, and reliability

- Collaborate with cross-functional teams on data management and reporting solutions

- Troubleshoot and optimize Databricks workflows to improve performance and reduce costs

- Create and maintain documentation for ETL pipelines, data models, and governance processes

Required Experience:

- Hands-on experience with Databricks for ETL pipeline development

- Strong experience with DBT and Snowflake

- Experience in data modeling, query optimization, and reporting processes

- Understanding of Medallion Architecture and Data Governance frameworks

- Strong SQL and data engineering fundamentals