DataStage

Job DescriptionJoin a team where data moves with purpose and every pipeline you build helps turn raw information into reliable insights. In this role, youll lead the design and delivery of enterprise-grade ETL solutions, partnering closely with stakeholders, analysts, and engineers to ensure data is accurate, timely, and trusted. Youll combine hands-on development with technical leadershipguiding best practices, improving performance, and helping teams deliver with confidence. If you enjoy solving complex data challenges, mentoring others, and shaping scalable integration patterns, this is a great opportunity to make a visible impact while working in a collaborative, quality-focused environment.
Roles Responsibilities

Lead end-to-end ETL development using IBM InfoSphere DataStage, from requirements gathering to production deployment.

Design, develop, and maintain DataStage jobs, sequences, and reusable components aligned to business and technical needs.

Drive data integration across multiple sources/targets, ensuring correctness, completeness, and consistency of delivered datasets.

Perform performance tuning and optimization of ETL jobs, including parallelism, partitioning, and resource utilization improvements.

Establish and enforce ETL standards, coding practices, naming conventions, and documentation for maintainability.

Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes to improve stability.

Collaborate with cross-functional teams to plan releases, manage dependencies, and ensure smooth handoffs across environments.

Provide technical guidance and mentorship to developers, including reviews of job design, error handling, and performance patterns.
Technical Requirement

Primary skills:Technology->ETL Data Quality->IBM Infosphere Datastage
Additional Responsibility

Bachelors or Masters degree (or equivalent) in Engineering, Computer Science, or related discipline (BTech/BE/MTech/MCA/MSc or equivalent).

59 years of experience in ETL development with strong hands-on expertise in IBM InfoSphere DataStage.

Solid understanding of ETL concepts including data extraction, transformation, loading, and orchestration.

Experience delivering production-grade data pipelines with strong focus on reliability, monitoring, and support readiness.

Ability to translate functional requirements into technical ETL designs and communicate effectively with stakeholders.

Preferred Qualifications:

Experience leading ETL workstreams, owning technical delivery, and coordinating across teams for successful releases.

Strong expertise in ETL design patterns including incremental loads, CDC-style approaches, restartability, and robust error handling.

Hands-on experience with IBM InfoSphere ecosystem and best practices for enterprise data integration.

Proven ability to improve ETL performance through tuning, workload optimization, and scalable job design.

Experience creating clear technical documentation, runbooks, and operational procedures for production support teams.

Good to have skills:
SQL, Data Warehousing, Unix/Linux Shell Scripting, Control-M, Git
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BTech
Preferred SkillsTechnology->ETL Data Quality->IBM Infosphere Datastage->IBM Infosphere Datastage - Datastage
Service LineData Analytics Unit