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Urgent! Senior Azure Data Engineer - ETL/PySpark Job Opening In Pune – Now Hiring knowledge Artisan

Senior Azure Data Engineer ETL/PySpark



Job description

<p><p><b>About the Role :</b></p><p><p><b><br/></b></p>We are looking for Sr. Azure Data Engineers to design, develop, and optimize data engineering pipelines on Azure.

You will work hands-on with Azure Data Factory, Databricks (PySpark), Azure Synapse, and ADLS Gen2, ensuring scalable, high-performance solutions and collaborating with BI teams for analytics.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design and optimize ETL/ELT pipelines using Azure Data Factory / Synapse Pipelines.<br/><br/></p><p>- Develop data processing workflows in Azure Databricks using PySpark.<br/><br/></p><p>- Work with Azure Data Lake Storage (ADLS Gen2) for efficient data storage and access.<br/><br/></p><p>- Ensure data quality, scalability, and performance in all solutions.<br/><br/></p><p>- Collaborate with BI teams to deliver insights via Power BI / Tableau.<br/><br/></p><p>- Apply best practices for big data processing, schema-on-read, and data modeling.<br/><br/><b>Required Skills :</b></p><p><p><b><br/></b></p>- Advanced SQL for complex transformations.<br/><br/></p><p>- Azure Data Factory (ADF) experience.<br/><br/></p><p>- Azure Databricks with PySpark (must-have).<br/><br/></p><p>- Python programming (PySpark).<br/><br/></p><p>- Big Data processing approaches & schema-on-read methodologies.<br/><br/></p><p>- Knowledge of Power BI / Tableau.<br/><br/></p><p>- Azure Synapse (added advantage).<br/><br/></p><p>- Power BI DAX (good-to-have).<br/><br/><b>Other Requirements :</b></p><p><p><b><br/></b></p>- Experience designing scalable, high-performance data pipelines.<br/><br/></p><p>- Strong collaboration skills with BI, analytics, and engineering teams.</p><br/></p> (ref:hirist.tech)


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