Data Engineer, Analytics (University Grad) at Meta
Interview Preparation Plan
As a University Grad Data Engineer, Analytics at Meta, you will be instrumental in building and maintaining the data infrastructure that powers insights across the company's family of apps. This role involves transforming raw data into actionable information, enabling product teams, data scientists, and analysts to make data-driven decisions. You'll work at an unprecedented scale, processing trillions of events daily, and contribute to innovations in areas like Reels recommendations and the metaverse. This position goes beyond standard data warehousing. You will be designing and implementing data pipelines, optimizing data flows, and ensuring data quality and reliability. Collaboration is key, as you'll partner closely with product managers and data scientists to define metrics and build data solutions, often before new features even launch. The culture encourages moving fast and measuring everything, with an emphasis on impact and continuous improvement.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data models for analytical use cases.
- Write complex SQL queries to extract and analyze data.
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