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 to 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)
- 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 DevOps)
Advantages:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opp