Job Description
About Position:
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nWe are looking for an experienced Azure Data Engineer with robust expertise in Databricks, Snowflake, and ETL/ELT pipeline development. The candidate will be responsible for building scalable, high-performance data solutions on Azure to support analytics and business use cases.The ideal candidate will work closely with cross-functional teams to design and deliver high-performance, reliable, and data-driven solutions, while ensuring data quality, efficiency, and scalability within the Azure ecosystem.
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Role: Azure Databricks Engineern
Location: Bangalore, Pune & Chennain
Experience: 4 to 10 Yearsn
Job Type: Full Time Employmentn

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nWhat You'll Do:
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Design and develop scalable data pipelines using Azure Databricks (PySpark)n
Build and maintain robust ETL/ELT workflows for large-scale data processingn
Develop and optimize complex SQL queries in Snowflake for analytics and reportingn
Integrate data pipelines using Azure services such as ADF, ADLS, and Synapsen




Design and manage Snowflake data warehouse structures (tables, views, pipelines)n
Perform performance tuning of Spark jobs and Snowflake workloadsn
Implement data quality, validation, governance, and monitoring mechanismsn
Collaborate with business stakeholders to gather requirements and deliver data solutionsn
Troubleshoot and resolve data pipeline and production issuesn

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nExpertise You'll Bring:
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4 to 10 years of experience in Data Engineeringn
Solid hands-on experience with Azure Databricks and PySparkn
Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines)n
Solid proficiency in SQL and Pythonn
Experience with Azure services: Data Factory (ADF), Data Lake (ADLS), Synapsen
Solid understanding of data warehousing, ETL processes, and pipeline architecturen
Experience with version control and CI/CD tools (Git, Azure DevOps)n

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nBenefits:
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📌 Azure Databricks Engineer Pune
🏢 Persistent Systems
📍 Pune