About Position:
We are looking for an experienced 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.
Role: Azure Databricks Engineer Location: Bangalore, Pune & Chennai Experience: 4 to 10 Years Job Type: Full Time Employment What You'll Do:
Design and develop scalable data pipelines using Azure Databricks (Py Spark) Build and maintain robust ETL/ELT workflows for large-scale data processing Develop and optimize complex SQL queries in Snowflake for analytics and reporting Integrate data pipelines using Azure services such as ADF, ADLS, and Synapse Design and manage Snowflake data warehouse structures (tables, views, pipelines)



Perform performance tuning of Spark jobs and Snowflake workloads Implement data quality, validation, governance, and monitoring mechanisms Collaborate with business stakeholders to gather requirements and deliver data solutions Troubleshoot and resolve data pipeline and production issues Expertise You'll Bring:
4 to 10 years of experience in Data Engineering Solid hands-on experience with Azure Databricks and Py Spark Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines) Strong proficiency in SQL and Python Experience with Azure services: Data Factory (ADF), Data Lake (ADLS), Synapse Solid understanding of data warehousing, ETL processes, and pipeline architecture Experience with version control and CI/CD tools (Git, Azure Dev Ops) Benefits:
Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and ce

📌 Azure databricks engineer (Uttar Pradesh)
🏢 Persistent Systems
📍 Uttar Pradesh