Lead Data Stage Developer

3 weeks ago

Davangere, 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: 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).



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