Job Description
About Position:
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nWe are looking for an experienced Azure Data Engineer with solid 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
- Strong hands-on experience with Azure Databricks and PySparkn
- Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines)n
- Strong 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