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.
Positive 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