Key Skills: Pyspark, ADF, Azure Databricks, Azure ADF, Azure Synapse

Roles and Responsibilities:

- Build and maintain batch and incremental data pipelines using Azure Data Factory and Azure Databricks.
- Develop PySpark-based transformations for structured and semi-structured data processing.
- Integrate data from multiple source systems into Azure-based landing and curated layers.
- Support data platform development across ADLS and related Azure services.
- Partner with analytics and downstream teams to deliver clean, reliable datasets for reporting and consumption.

Skills Required:

- 8 to 15 years of relevant experience in data engineering and Azure data platform development.
- Strong hands-on experience with Azure Data Factory, Azure Databricks, and PySpark.
- Experience designing cloud data pipelines and transformation workflows on Azure.
- Ability to build scalable data processing solutions for large-volume datasets.
- Experience with Azure-based data integration and data movement across enterprise systems.

Valuable to Have:

- Azure Synapse

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

📌 Azure Data Engineer_102766 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru