DataStage

About the job:

Join a collaborative data engineering team where you’ll lead the design and delivery of reliable, high-performance data integration solutions. In this role, you’ll take ownership of end-to-end ETL delivery—partnering with stakeholders to understand data needs, translating them into scalable pipelines, and ensuring data moves accurately and efficiently across systems. You’ll guide best practices, mentor team members, and drive continuous improvements in quality, performance, and operational stability. If you enjoy solving complex data challenges, building robust enterprise-grade integrations, and working closely with cross-functional teams to deliver measurable business outcomes, this is a great opportunity to make a strong impact while growing your technical and leadership skills.

Responsibilities

Key Responsibilities:

Lead the design, development, and deployment of ETL solutions using DataStage and IBM InfoSphere for enterprise data integration needs.

Translate business and technical requirements into detailed ETL designs, mappings, and job flows; estimate effort and plan deliveries.

Build and optimize DataStage jobs, stages, and sequences to ensure performance, scalability, and maintainability.

Implement robust error handling, restartability, logging, and monitoring patterns to improve operational reliability.

Conduct code reviews, enforce development standards, and mentor team members to improve overall delivery quality.

Collaborate with source/target system owners, analysts, and downstream consumers to validate data rules and integration logic.

Support testing cycles (unit, system, and UAT), troubleshoot defects, and drive root-cause analysis for production issues.

Maintain technical documentation for ETL designs, job dependencies, runbooks, and support procedures.

Minimum Qualifications:

Education: BTECH, MTECH, MCA, MSC (or equivalent).

5–9 years of experience in ETL development with strong hands-on expertise in DataStage.

Strong working experience with IBM InfoSphere and enterprise ETL delivery practices.

Proven ability to design, develop, and support ETL pipelines with a focus on data quality and performance.

Experience collaborating with cross-functional teams and owning deliverables end-to-end.

Technical requirements

Primary skills:Technology->Data Management - Data Integration->DataStage

Additional responsibilities

Preferred Qualifications:

Experience leading technical delivery, guiding solution design decisions, and mentoring developers in an ETL/data integration team.

Strong understanding of ETL architecture patterns, job orchestration, dependency management, and operational support readiness.

Demonstrated ability to optimize ETL performance through efficient design, parallelism, and tuning approaches within DataStage/InfoSphere environments.

Experience driving quality practices such as reusable frameworks, standardized templates, and review checklists to improve consistency and speed of delivery.

Strong stakeholder management skills—able to clarify requirements, communicate risks, and align delivery plans with business priorities.

Education

MCA,MSc,MTech,Bachelor of Engineering,BTech