We are seeking a highly skilled Data Engineer to join our Infrastructure team and lead the development of a centralized Operational Data Store (ODS) and analytics platform for the Graphics Team.
Key Responsibilities
* The selected candidate will be responsible for architecting and implementing a centralized ODS database for the Graphics Team, replacing manual data tracking and unifying engineering metrics across teams.
* They will design and maintain ETL pipelines and data workflows using tools such as Airflow, integrating data from PM systems, regression databases, and more.
* This role requires collaboration with cross-functional engineering teams (verification, design, modeling, compiler, driver) to modernize data collection, storage, and analysis environments.
* The ideal candidate will optimize infrastructure for GenAI and agentic AI workloads, ensuring performance, scalability, and security.
* They will develop dashboards and reporting tools using Tableau, Splunk, or Power BI to support operational insights and strategic decision-making.
* Ensuring data integrity, privacy, and compliance with internal governance standards is also a key responsibility.
Minimum Qualifications
1. A Bachelor's degree in Computer Science, Engineering, or a related field is required.
2. The selected candidate should have at least 3 years of experience in data engineering, including SQL/NoSQL databases, Python, and ETL pipeline development.
3. Experience with workflow orchestration tools (e.g., Airflow) and business intelligence platforms is also necessary.
4. A strong understanding of data privacy, performance optimization, and infrastructure scaling is essential.