About the role
- Develop and maintain data pipelines using Python/PySpark.
- Build ETL/ELT solutions using Azure Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL.
- Write complex SQL queries, stored procedures, and transformations.
- Collaborate with business and technical teams to deliver data solutions.
- Troubleshoot data and pipeline issues and follow engineering best practices.
- Use Git, Azure DevOps, and Jira for development and project tracking.
- 3+ years of experience in Data Engineering/Data Warehousing.
- Strong Python/PySpark and SQL skills.
- Hands-on experience with Azure data services and ETL.
- Good understanding of data integration and data warehousing.
- Strong analytical, problem-solving, and communication skills.
- Azure Databricks/Spark experience.
- Azure Data Engineer certification is a plus.