Develop ETL workflows using IBM DataStage
Extract data from databases, APIs, files, and cloud sources
Transform and clean data to meet business rules
Load data into data warehouses / data lakes
Performance tuning and error handling in ETL jobs
Work with data analysts and business users to understand requirements
Schedule and automate ETL batches
Maintain data quality and security standards
Troubleshoot failures and resolve production issues
Banks, telecom, insurance, retail, healthcare — all rely on DataStage for big data movement → strong job security.
ETL and data engineering roles are among the higher-paying IT careers.
You gain skills that lead to roles like:
Data Engineer
Data Architect
Cloud Data Engineer
BI Consultant
You handle large-scale enterprise data → high importance and recognition in projects.
Most tasks are development-based with better work–life balance compared to 24×7 support.
Integration with Cloud services, big data pipeline modernization, automation tools, etc.
Data integration is needed in every country → easier to get foreign assignments.
1. Trainee / Associate Software Engineer Role/Responsibilities: Learn and implement coding practices Work on small modules of client projects Participate in training programs Skills Required: Java, Python, C/C++, SQL, pro... Read More