Immediate Joiner
Hybrid Mode
Experience:-7-10 Years
Location:- Pan India Location
Key Responsibilities
• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
• Develop, optimize, and maintain SQL queries, stored procedures, and database objects in Microsoft SQL Server.
• Troubleshoot and resolve SQL performance issues, including query optimization, indexing, and execution plan analysis.
• Perform SQL Server database maintenance, performance monitoring, and optimization.
• Work with Azure cloud services to build and manage reliable data engineering solutions.
• Develop and maintain data processing workflows using Azure Databricks and Apache Spark.
• Implement and manage CI/CD pipelines using GitHub Actions for automated deployment and version control.
• Collaborate with cross-functional teams to ensure data quality, reliability, scalability, and performance.
• Monitor data pipelines,



identify bottlenecks, and implement performance improvements.

Required Skills and Qualifications
• Strong hands-on experience with Microsoft SQL Server.
• Excellent hands-on experience with Azure Data Factory (ADF).
• Practical experience with Microsoft Azure data services.
• Robust expertise in SQL performance tuning, troubleshooting, and database maintenance.
• Hands-on experience with Azure Databricks and data processing workflows.
• Experience with GitHub Actions and CI/CD pipeline implementation.
• Strong understanding of ETL/ELT processes, data integration, and data pipeline development.
• Experience in debugging, optimizing, and maintaining production data pipelines.
• Strong analytical, problem-solving, and communication skills.

📌 Azure Data Engineer (Bengaluru)
🏢 Innova ESI
📍 Bengaluru