A US / Canadian based IT MNC is hiring for Lead Data Stage Developer for one of their Banking client.
Work Location : Remote
Shift 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).