Lead Data Stage Developer

1 week ago

New Delhi, India Prasha Consultancy Services Private Limited Full time

A US/Canadian based IT MNC is hiring for Lead Data Stage Developer for one of their Banking client.Work Location: RemoteShift Timing: 2:30 PM to 11:30 PM.We are seeking an experienced Senior IBM DataStage 11 Developer with strong expertise in building and optimizing ETL solutions. The ideal candidate will also bring banking domain experience, working on large-scale financial data processing, regulatory reporting, and risk/compliance-related projects. This role requires collaboration with business analysts, data architects, and other stakeholders to deliver scalable, high-performing solutions.Key Responsibilities- Design, develop, and maintain ETL processes using IBM DataStage 11 - Work on banking/financial data integration projects involving payments, loans, credit, and regulatory data. - Optimize and tune DataStage jobs for performance and scalability. - Collaborate with data architects to define integration strategies and best practices. - Work with business analysts to gather and analyze requirements. - Develop reusable components, frameworks, and accelerators. - Ensure high-quality deliverables through code reviews, unit testing, and documentation. - Troubleshoot production issues and provide timely resolutions. - Mentor junior developers and provide technical guidance.Required Skills & Experience- 10+ years of ETL development experience with at least 4+ years in IBM DataStage 11. - Strong knowledge of banking/financial domain processes (payments, compliance, risk, regulatory reporting, customer data management). - In-depth understanding of ETL methodologies, data warehousing concepts, and dimensional modeling. - Hands-on experience with parallel jobs, server jobs, sequencers, and complex transformations in DataStage. - Proficiency in SQL and experience with multiple relational databases (DB2, Oracle, SQL Server, Teradata, etc.). - Strong knowledge of UNIX/Linux scripting and job scheduling tools. - Experience with performance tuning and large-scale data processing. - Familiarity with version control, CI/CD, and DevOps practices. - Excellent communication and problem-solving skills.Nice to Have- Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data integration. - Knowledge of big data technologies (Hadoop, Spark). - Exposure to Data Governance and Data Quality tools.Education- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent work experience).

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