We are seeking a highly skilled and results-driven ETL Developer with extensive hands-on experience in IBM DataStage and IBM Cloud Pak for Data (CP4D). The ideal candidate will be responsible for designing, developing, optimizing, and supporting enterprise-scale ETL solutions, data integration pipelines, and modernization initiatives involving migration from legacy DataStage environments to cloud-native data platforms.
The candidate should possess strong expertise in data warehousing, data transformation, performance optimization, and production support while collaborating with cross-functional teams in an Agile delivery environment.
Key Responsibilities
Design, develop, test, and deploy ETL/Data Integration solutions using IBM DataStage (latest versions).
Develop scalable and high-performance data pipelines for batch and near real-time processing.
Lead migration and modernization initiatives from traditional DataStage environments to IBM Cloud Pak for Data (CP4D).
Design and implement reusable ETL frameworks, shared containers, parameter sets, and automation components.
Perform complex data mapping, transformation, cleansing, enrichment, and validation activities.
Conduct performance tuning and optimization of ETL jobs, databases, and data flows.
Analyze production issues, perform root-cause analysis, and implement permanent fixes.
Collaborate with Data Architects, Business Analysts, Product Owners, and QA teams during solution design and delivery.
Participate in Agile ceremonies including Sprint Planning, Daily Standups, Reviews, and Retrospectives.
Create and maintain technical design documents, source-to-target mappings, and operational runbooks.
Ensure compliance with enterprise security, governance, and data quality standards.
Mandatory Technical Skills
Primary Skills
IBM DataStage (11.x and above) - Expert Level
IBM Cloud Pak for Data (CP4D)
ETL Design & Development
Data Warehousing Concepts
SQL (Advanced)
Data Modeling
Data Migration & Modernization
Performance Tuning and Optimization
Unix/Linux Shell Scripting
Preferred Skills
Experience migrating ETL workloads from IBM DataStage to Cloud Pak for Data.
Exposure to cloud-native architecture and enterprise modernization programs.
Experience with Autosys, Control-M, or enterprise scheduling tools.
Understanding of data governance, metadata management, and data lineage.
Knowledge of DevOps and automated deployment pipelines for ETL applications.
Exposure to Banking and Financial Services domain is highly preferred.
Experience working in large-scale enterprise data platforms handling high-volume data processing.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.