DataStage Developer

We are looking for an experienced Data Stage Developer with strong expertise in IBM Data Stage, SQL, PL/SQL, Python, and Unix. The ideal candidate should have experience in designing, developing, and supporting data integration and data warehousing solutions while ensuring optimal performance and data quality.

• Design, develop, and maintain ETL solutions using IBM Data Stage.
• Work on Data Warehouse projects involving data extraction, transformation, and loading from various source systems.
• Provide production support, troubleshoot ETL failures, and perform root cause analysis.
• Develop and optimize SQL and PL/SQL queries, stored procedures, and database objects.
• Build and maintain Unix shell scripts for automation and operational support.
• Develop Python-based solutions for data processing, validation, and automation requirements.
• Collaborate with business analysts, architects, and stakeholders to understand data integration requirements.
• Ensure data quality, performance tuning, and adherence to development standards and best practices.
• Participate in code reviews, testing, deployment, and documentation activities.

• Strong knowledge of Data Warehousing concepts and ETL methodologies.
• Hands-on experience in IBM Data Stage development and support projects.
• Experience in designing and building Data Stage solutions and ETL workflows.
• Strong proficiency in SQL and PL/SQL.
• Hands-on experience with Python scripting and automation.
• Good experience in Unix/Linux scripting.
• Experience working with Hive and/or relational databases such as Oracle, SQL Server, DB2, or PostgreSQL.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and collaborative environment.