ETL Developer - IBM DataStage & SnapLogic (PIM Program

ETL Developer - IBM DataStage & SnapLogic (PIM Program) We are seeking an experienced ETL Developer with expertise in IBM DataStage to support the Caterpillar Digital PIM Development Program. The role will focus on development and production support using IBM DataStage and SnapLogic. Your Role Design, develop, and maintain ETL jobs using IBM DataStage and SnapLogic for PIM data pipelines Perform code enhancements, bug fixes, and performance tuning of existing ETL jobs Ensure data quality, integrity, and consistency across systems Troubleshoot production issues and provide timely resolution Knowledge of IBM Information Data Quality (IDQ) is important Experience with P360 integration (via P360 APIs) is highly desirable Provide ongoing support for ETL jobs and data pipelines Investigate data discrepancies, performance issues, and job failures Perform Root Cause Analysis (RCA) and implement preventive measures Collaborate with monitoring teams for incident management and SLA adherence Work closely with PIM functional teams, offshore teams, and downstream system owners Provide technical inputs for solution design and roadmap planning Coordinate effectively across onshore and offshore teams Participate in Agile ceremonies (daily stand-ups, sprint planning, status reporting) Maintain technical design documents, ETL specifications, and runbooks Ensure adherence to coding standards, data governance, and security policies Required Skills & Experience Core Technical Skills Strong experience in IBM DataStage and SnapLogic Expertise in parallel jobs, server jobs, and job sequencing API integrations (DataStage/SnapLogic to external systems) Performance tuning and optimization Hands‑on experience with SnapLogic (mandatory): pipeline development, Snap Packs, REST/SOAP integrations Strong SQL skills (complex queries, performance tuning) Demonstrated ownership mindset and accountability Experience with cloud platforms (AWS preferred) Familiarity with PIM/Data domain systems Knowledge of monitoring tools such as CloudWatch, ThousandEyes, etc. Strong problem‑solving and analytical abilities Excellent communication and stakeholder management skills Ability to quickly understand and ramp up on existing DataStage pipelines Strong ownership of production stability and SLA compliance The base compensation range for this role in the posted location is: $83,000 to $192,000. Benefits Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program, which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this job traditionally is performed. When necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. #J-18808-Ljbffr Capgemini