We are looking for a Junior Data Engineer specialized in Azure Databricks to join our data platform team.
The candidate will develop and support modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments. The role offers an opportunity to learn and grow within a modern cloud data ecosystem while contributing to analytics and business intelligence initiatives.
Key responsibilities:
- Support and evolve existing SQL Server data platforms and ETL solutions
- Develop and maintain data pipelines using Azure Databricks
- Build and optimize data transformations using PySpark and SQL in Databricks
- Develop ETL/ELT pipelines orchestrated through Azure Data Factory
- Integrate data from multiple sources into the data platform and analytical layers
- Maintain data models and data warehouse structures for analytics
- Ensure data quality, scalability, and performance of large-scale data processing pipelines
- Collaborate with BI teams to support Power BI and reporting platforms
- Participate in the implementation of modern cloud-based data architectures under guidance from senior team members