Azure Data Engineer

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.

Good to Have:

• Azure Synapse

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