ETL/SQL Server Developer with deep traditional database expertise and the ability to evolve into Python and Quartz-based scheduling environments.
Key Responsibilities:
Design, develop, and optimize ETL pipelines and data workflows
Work extensively with SQL Server (T-SQL, performance tuning, stored procedures)
Ensure data integrity, validation, and productive data processing
Support batch processing and job scheduling (Quartz or similar tools)
Contribute to modernization efforts by adopting Python-based data processing
Troubleshoot production issues and optimize database performance
Required Skills:
Solid hands-on experience with ETL processes and SQL Server
Deep understanding of database fundamentals, indexing, and query optimization
Experience with data warehousing concepts
Preferred Qualifications:
Exposure to Python for data processing
Familiarity with Quartz or job scheduling frameworks
Experience in banking/financial data environments.