- Hands on experience in Data Engineering.
- Hands-on experience with Azure Databricks.
- Good knowledge of PySpark, Python, and SQL.
- Experience in developing ETL/ELT data pipelines.
- Knowledge of Delta Lake and Medallion Architecture.
- Experience with ADLS Gen2 and Azure SQL.
- Basic knowledge of Databricks Workflows and DLT.
- Familiarity with Unity Catalog and data governance.
- Experience with Azure DevOps and CI/CD.
- Basic knowledge of Azure Data Factory (ADF).
- Experience in data cleansing, transformation, and data modeling.
- Good troubleshooting and pipeline monitoring skills.
- Understanding of performance and cost optimization in Databricks.
- Valuable communication and teamwork skills.
- AZ-900 certification and Power BI exposure are preferred.