Senior Azure Data Engineer - ETL/PySpark

About the Role :

- Develop data processing workflows in Azure Databricks using PySpark.

- Work with Azure Data Lake Storage (ADLS Gen2) for efficient data storage and access.

- Ensure data quality, scalability, and performance in all solutions.

- Collaborate with BI teams to deliver insights via Power BI / Tableau.

- Apply best practices for big data processing, schema-on-read, and data modeling.

Required Skills :

- Azure Data Factory (ADF) experience.

- Azure Databricks with PySpark (must-have).

- Python programming (PySpark).

- Big Data processing approaches & schema-on-read methodologies.

- Knowledge of Power BI / Tableau.

- Azure Synapse (added advantage).

- Power BI DAX (good-to-have).

Other Requirements :

- Strong collaboration skills with BI, analytics, and engineering teams.