- Take part in every squad ceremony (daily stand‑ups, sprint planning, backlog refinement, sprint review, retrospective).
- Estimate, design, and develop DataStage jobs according to company standards and Jira‑tracked requirements (current features, changes, bug fixes).
- Conduct unit testing and deliver code ready for user‑acceptance testing.
Delivery & Support
- Own the delivery of all Jira tickets assigned for the sprint.
- Provide day‑to‑day support for DataStage jobs within the squad’s scope, including monitoring, troubleshooting, and issue resolution in test and production environments.
Community & Knowledge Sharing
- Contribute to Engineer Chapter events and the DataStage Tribe guild together with the Engineer Tech Lead.
- Share best‑practice insights and raise alerts on potential risks or bottlenecks.
Required Education, Skills and Experience (must have)
Education
- Bachelor’s degree (or equivalent) in Computer Science, Information Systems, Engineering or a related discipline.
Technical Skills
- Proficient in DataStage PX (v11.7.x) for development.
- Strong SQL expertise; able to write and run queries on SQL Server and Oracle databases.
- Experience with version‑control and CI/CD tools such as Git and Jenkins.
- Basic shell‑scripting ability.
Behavioral Skills
- High attention to detail and rigor.
- Adaptable, proactive, and solution‑oriented.
- Effective communication in English with both business and technical teams.
Experience
- Proven track record designing, implementing, and supporting DataStage ETL workflows in an agile environment.
Preferred Education, Skills and Experience
Technical Add‑Ons
- Administrative knowledge of DataStage (e.g., XMETA).
- Familiarity with CONTROL‑M job‑scheduling.
- Experience with Oracle Data Integrator (v12.2.x).
- Exposure to monitoring platforms such as Centreon or Dynatrace.
Behavioral Extras
- Demonstrated creativity and innovation in solving complex data‑integration challenges.
- Consistent record of delivering results in fast‑moving, multi‑technology squads.
Education
- Advanced degree or professional certifications in data integration, big‑data, or related technologies.