ETL Developer

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 Data Warehousing Concepts Performance Tuning and Optimization 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. Employee Benefits Discretionary Annual Incentive Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Family Support: Maternal & Parental Leaves Insurance Options: Auto & Home Insurance, Identity Theft Protection Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement Time Off: Vacation, Time Off, Sick Leave & Holidays Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing #J-18808-Ljbffr