Description

You will design, develop, and maintain scalable ETL pipelines and data solutions for enterprise repositories and AI teams.

You will own the full lifecycle of data integration, from requirement gathering to production support and performance tuning.

Responsibilities

• Design and implement high-performance data pipelines using T-SQL, stored procedures, and SSRS reports.
• Extract, transform, and load data from cloud environments (Azure, Snowflake) into on-premise staging areas.
• Collaborate with business units and AI teams to translate requirements into technical solutions and data mappings.
• Diagnose and resolve production issues, query performance bottlenecks, and database locking conflicts with the DBA team.
• Lead peer code reviews, document BI functionality, and manage job scheduling to ensure production stability.

Required Skills

• 5+ years of experience in ETL development and data pipeline architecture.
• Proficient in advanced T-SQL, writing complex stored procedures, and troubleshooting query performance.
• Experience with cloud data platforms, specifically Azure and Snowflake.
• Hands-on experience with SSRS for report development and troubleshooting.
• Strong ability to gather requirements and translate them into technical data solutions.
• Proven track record of resolving production issues and optimizing inefficient queries.
• Experience collaborating with AI teams for dataset creation and data mapping.

Preferred Skills

• Experience working with legacy system integrations and leading design modifications.
• Strong documentation skills, with experience maintaining technical guides on SharePoint.

Key Skills

Education

Any Gradute