We are looking for a passionate Databricks Developer to join our data engineering team. In this role, you will help build and maintain ETL pipelines, optimize data models, and contribute to reporting processes. You will gain hands-on experience with Databricks and cloud technologies, contributing to key data management and reporting initiatives.

- Experience in Databricks for building ETL pipelines.

- Experience in building data model and optimizing queries.

- Experience with data management and reporting processes.

- Experience with medallion architecture and data governance.

Key Responsibilities :

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

- Contribute to the development of data models and optimize queries for performance and efficiency.

- Participate in the design and implementation of data governance practices, ensuring data quality and consistency across pipelines.

- Assist in the implementation and maintenance of the medallion architecture (bronze, silver, gold layers) to streamline data processing and reporting.

- Collaborate with cross-functional teams to integrate data management and reporting processes into broader business initiatives.

- Troubleshoot and optimize Databricks workflows to enhance performance and reduce costs.

- Maintain clear documentation of ETL pipelines, data models, and governance procedures to ensure transparency and scalability.