Data Engineer

Key Responsibility

1. Proven hands-on experience as a Data Engineer or Analytics/Data Engineering role, supporting Manufacturing and/or Supply Chain analytics use cases.
2. Drive end-to-end data engineering initiatives, including data integration, ETL development, data modeling, and the maintenance of high-quality, consistent data across multiple source systems.
3. Ability to quickly understand existing architectures, identify data gaps, and propose practical, scalable solutions.
4. Comfortable working with ambiguous business requirements and proactively driving clarification and improvement.
5. Demonstrates a strong growth mindset: curious, adaptable, and continuously improving both technical skills and solution quality.
6. Demonstrate strong ownership and responsiveness in ensuring system stability.

Must-Have

• Seeking a Technical Program Manager (TPM) with a solid background in managing hardware module programs (from Proto to DVT), managing suppliers.
• Understand of Product development process and has successfully taken a module from Proto to PVT
• Demonstrated experience with project management and tracking tools (e.g., Jira, spreadsheets, bug tracking systems) to manage complex workflows.
• Strong organizational skills with the ability to track multiple open items, follow up on pending feedback, and drive tasks to closure.
• End-to-end ownership of complex module schedules.
• Strong written and verbal communication skills, with the ability to concisely document, technical findings in tickets (e.g., Buganizer/Jira) and reports.
• Ability to manage multiple suppliers and CMs, balancing timelines, logistics, and deliverables.
• Exposure to supplier evaluation, OEM selection, and contract manufacturing models.

Good-to-Have

• Experience working with automotive OEMs or Tier-1 suppliers, including component evaluation and supplier selection processes.
• Knowledge of Design for Manufacturing (DFM), Design for Assembly (DFA), validation planning, dashboarding, and manufacturing readiness activities.
• Exposure to contract manufacturing models, supplier performance management, scorecards, quality/cost/delivery metrics, and vehicle-level integration testing.