Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using SSIS and Informatica PowerCenter.
- Develop, optimize, and manage SQL Server databases, including complex queries, stored procedures, and performance tuning.
- Build and maintain data pipelines using AWS services such as S3, Glue, and Lambda.
- Develop efficient and reusable Python scripts for data processing and automation.
- Manage source code using Git and follow version control best practices.
- Ensure data quality, validation, and consistency across platforms.
- Support reporting and analytics requirements using enterprise reporting tools.
- Monitor, troubleshoot, and enhance production data workflows.
Mandatory Skills
✅ SQL Server & T-SQL (Performance Tuning)
✅ SSIS (SQL Server Integration Services)
✅ Informatica PowerCenter
✅ Python Development
✅ AWS Data Services (S3, Glue, Lambda, etc.)
✅ Git Version Control
✅ Data Warehousing & ETL Concepts
Candidate Requirements
- Strong hands-on ETL development experience.
- Good understanding of data warehousing architecture.
- Excellent problem-solving and debugging skills.
- Experience working in enterprise-scale data environments.