Technology->ETL & Data Quality->IBM Infosphere Datastage->IBM Infosphere Datastage - Datastage

- Design, develop, and maintain ETL jobs using IBM InfoSphere DataStage to load and transform data across systems.
- Translate business and technical requirements into DataStage job designs, mappings, and data transformation logic.
- Build and optimize ETL workflows including sequencing, parameterization, reusable job components, and error handling.
- Perform unit testing, integration testing, and support UAT by preparing test data and validating outputs against source systems.
- Troubleshoot ETL failures, analyze logs, identify root causes, and implement fixes to ensure reliable production runs.
- Monitor batch schedules and job performance; support improvements in throughput, restartability, and resource usage.
- Collaborate with cross-functional teams to ensure data consistency, completeness, and adherence to delivery timelines.
- Maintain technical documentation for job designs, data flows, operational runbooks, and deployment notes.
- Bachelor’s or Master’s degree (or equivalent) in Engineering/Technology/Computer Applications/Science (e.g., BTech, BE, MCA, MSc, MTech).




- 2–5 years of experience in ETL development and support with hands-on expertise in IBM InfoSphere DataStage.
- Strong understanding of ETL concepts including extraction, transformation, loading, data validation, and reconciliation.
- Experience working with end-to-end ETL lifecycle: development, testing, deployment, and production support.
- Ability to analyze job logs, resolve issues, and communicate progress clearly with team members and stakeholders.

Preferred

Qualifications:

- Experience with ETL performance tuning in DataStage (parallelism, partitioning, buffering, and efficient job design patterns).
- Familiarity with IBM InfoSphere ecosystem components and best practices for enterprise data integration.
- Exposure to data quality checks, audit controls, and building validation frameworks within ETL pipelines.
- Experience supporting batch scheduling and operational readiness (restart strategies, alerting, and runbook-driven support).
- Ability to work in Agile/iterative delivery models and contribute to continuous improvement of ETL standards and reusable assets.

Good to have skills: SQL, Unix/Linux Shell Scripting, Control-M, Informatica, Data Warehousing

📌 DataStage (Bengaluru)
🏢 Infosys
📍 Bengaluru