We 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.
Role: Sr. Azure Databricks Engineer
Location: Bangalore, Pune & Chennai
Experience: 8 to 16 Years
Job Type: Full-Time Employment
What You'll Do:
Design and develop scalable data pipelines using Azure Databricks (PySpark)
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:
8–12 years of experience in Data Engineering
Strong hands-on experience with Azure Databricks and PySpark
Extensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines)
Robust 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 DevOps)
Perks:
Market-competitive salary and perks package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher edu