Job Title : SQL Developer (ADF)
Experience : 5–9 Years
Location : Chennai / Bangalore / Pune / Hyderabad
Job Summary
We are seeking a skilled SQL Developer with expertise in Azure Data Factory (ADF) to design, build, and optimize data solutions across cloud environments. The ideal candidate will be responsible for developing robust ETL / ELT pipelines, managing database objects, and ensuring high-performance, scalable, and secure data workflows.
Key Responsibilities
- Design, develop, and maintain SQL queries, stored procedures, triggers, and functions.
- Develop and manage ADF pipelines, data flows, linked services, triggers, and integration runtimes.
- Work with Azure SQL / SQL Server to design and optimize database schemas and processes.
- Implement and maintain ETL / ELT workflows for large-scale data processing.
- Optimize database performance through indexing, query tuning, and troubleshooting.
- Collaborate with data engineers, BI teams, and application teams to integrate data solutions.
- Ensure data quality, integrity, and security across all platforms.
- Perform root cause analysis and debugging of database and ADF-related issues.
- Participate in code reviews, documentation, and adherence to best practices.
- Support deployment, monitoring, and maintenance of data pipelines in production environments.
Required Skills & Experience
5–9 years of strong experience in SQL development and database programming.Hands-on experience with Azure Data Factory (ADF) :Pipeline developmentData flowsLinked servicesTriggers & Integration RuntimesStrong experience with MS SQL Server (T-SQL, performance tuning, query optimization).Experience with ETL / ELT processes, data modeling, and data warehousing concepts.Experience working with Azure SQL, Azure Storage (Blob / Data Lake).Knowledge of Azure services such as Azure Functions, Logic Apps (added advantage).Strong analytical, debugging, and problem-solving skills.Skills Required
Blob, T-sql, Logic Apps, Ms Sql Server, Data Modeling, Data Warehousing, Azure Sql, Sql, ELT, Azure Functions, Data Lake, Azure Storage, Etl