Data Engineer

- Expected to be an SME, collaborate and manage the team to perform.
- Lead design and development of complex PLX-based dashboards, workflows, data processes, analytical tools, and automation solutions.
- Translate functional and analytical requirements into scalable technical designs and implementation plans.
- Develop advanced SQL logic for large datasets, including transformation, validation, optimization, metric calculation, and exception handling.
- Build or guide Python-based automation, data validation, analytical processing, and repeatable workflows in Colab.
- Review code, SQL, dashboards, workflows, documentation, and test outputs produced by developers and entry-level developers.
- Provide technical direction on solution design, data model usage, workflow structure, performance, maintainability, and troubleshooting.
- Collaborate with techno-functional analysts, managers, consultants, and stakeholders to clarify requirements and resolve ambiguity.
- Identify reusable components, development standards, and opportunities to improve delivery efficiency.
- Support production issue resolution, root-cause analysis, defect fixes, and enhancement prioritization.
- Mentor junior developers and help build technical capability across the team.