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

n Skills Required:
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- 8 to 15 years of relevant experience in data engineering and Azure data platform development. N




- Solid hands-on experience with Azure Data Factory, Azure Databricks, and PySpark. N
- Experience designing cloud data pipelines and transformation workflows on Azure. N
- Ability to build scalable data processing solutions for large-volume datasets. N
- Experience with Azure-based data integration and data movement across enterprise systems. N

nGood to Have:
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- Azure Synapse N

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

📌 Hiring: Azure Data Engineer_102766 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru