Senior Technical Lead

Job Summary

The Data Stage Developer will design, remediate, migrate, and optimise ETL jobs as part of the upgrade programme. Because the migration approach explicitly references job sequences, routines, deprecated-stage replacement, recompilation, and schedule switching, the developer must be comfortable both with core Data Stage development and with associated scheduling platforms.

Key Responsibilities

• Analyse and enhance existing Data Stage jobs, sequences, routines, and reusable components.

• Modify jobs for compatibility with Data Stage 11.x, including deprecated-stage replacement, connection updates, and technical remediation.

• Recompile and fix jobs/routines following import into target environments.

• Support data transformation logic, parameterisation, error handling, and performance optimisation.

• Debug job failures, warnings, runtime issues, and scheduler-triggered failures.

• Work with scheduling platforms (for example enterprise schedulers / orchestration tooling used by the client) to understand dependencies, trigger logic, sequencing, and operational timing.

• Support unit testing, integration testing, regression validation, and cutover activities.

• Maintain technical documentation, run-books, and deployment support artefacts.

Skill Requirements

• Strong hands-on IBM Data Stage development experience.

• Strong knowledge of parallel jobs, sequences, routines, ETL patterns, debugging, and performance tuning.

• Experience with job schedulers / scheduling platforms and dependency handling.

• Good understanding of ETL lifecycle, source-to-target mappings, and production support considerations

Other Requirements

• Experience in Data Stage 8.x / 9.x to 11.x upgrade/migration projects.

• Knowledge of shell scripting and automation.

• Exposure to ADF / Databricks is an advantage