Job DescriptionAbout Position:
NWe are looking for an experienced Senior Azure Data Engineer with strong 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: Sr. Azure Databricks Engineer N
- Location: Bangalore, Pune & Chennai N
- Experience: 8 to 16 Years N
- Job Type: Full-Time Employment N

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 processing N
- Develop and optimize complex SQL queries in Snowflake for analytics and reporting N
- Integrate data pipelines using Azure services such as ADF, ADLS, and Synapse N




- Design and manage Snowflake data warehouse structures (tables, views, pipelines) N
- Perform performance tuning of Spark jobs and Snowflake workloads N
- Implement data quality,validation, governance, and monitoring mechanisms N
- Collaborate with business stakeholders to gather requirements and deliver data solutions N
- Troubleshoot and resolve data pipeline and production issues N

nExpertise You'll Bring:
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- 8–12 years of experience in Data Engineering N
- Robust hands-on experience with Azure Databricks and PySpark N
- Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines) N
- Strong proficiency in SQL and Python N
- Experience with Azure services: Data Factory (ADF), Data Lake (ADLS), Synapse N
- Solid understanding of data warehousing, ETL processes, and pipeline architecture N
- Experience with versioncontrol and CI/CD tools (Git, Azure DevOps) N

nBenefits:


📌 Hiring: Sr. Azure Databricks Engineer (Bengaluru)
🏢 Persistent Systems
📍 Bengaluru