Key Skills:

Pyspark, ADF, Azure Databricks, Azure ADF, Azure SynapseRoles 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.Robust 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 SynapseEducation:

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

📌 Azure Data Engineer 102766 Mumbai
🏢 MyCareernet
📍 Mumbai