Key Responsibilities:
Design and develop end-to-end data pipelines using Azure Data Factory and Azure Databricks
Integrate data from various sources including SQL Server, Azure Data Lake, Blob Storage, and third-party APIs
Build and optimize ETL/ELT workflows using PySpark/Scala in Azure Databricks
Develop and maintain data models and datasets for analytics and reporting
Work with data analysts and business stakeholders to understand requirements and translate them into technical solutions
Monitor pipeline performance and implement logging, alerting, and recovery strategies
Ensure data quality, security, and governance across all workflows
Participate in code reviews, technical documentation, and agile ceremonies
Collaborate with cloud architects and DevOps teams to automate deployments (CI/CD)

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📌 Adf Professional Bengaluru (India)
🏢 Diverse Lynx
📍 India