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.
- Solid 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