✨ About The Role
- This role involves collaborating with engineering and operations teams to identify high-impact analytics problems related to infrastructure utilization.
- The candidate will lead cross-functional projects that involve data collection, cleaning, and analysis from various sources.
- Developing and refining dashboards and reports to empower teams to independently analyze infrastructure-related data is a key responsibility.
- The role requires designing and implementing data pipelines to consolidate data from multiple sources, ensuring reliability and scalability.
- The position is pivotal for optimizing infrastructure investments vital for AI research and deployment activities.
âš¡ Requirements
- The ideal candidate will have over 9 years of experience in Data or Analytics Engineering roles.
- Expertise in SQL and experience with ETL workflows is essential, particularly in handling large datasets.
- Strong data modeling skills are necessary, with the ability to design OLAP data models.
- Proficiency in quantitative programming languages, especially Python, is preferred for creating data models and analytics tools.
- A meticulous attention to detail and a strong commitment to data accuracy and integrity are crucial for success in this role.
- The candidate should have a proven ability to build effective partnerships across diverse teams.
- Experience in designing end-to-end data systems, from data ingestion to consumption, is highly valued.
- Familiarity with business intelligence tools for data visualization and self-service analytics is beneficial.