Meta is seeking to solve complex data challenges at scale across its family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads) to optimize growth, strategy, and user experience for billions of users and internal operations.
Requirements
- 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C-Sharp, Scala or others.)
Responsibilities
- Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
- Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits
- Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
- Support existing processes running in production and implement optimized solutions with limited guidance
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
- Ability to define and manage Service Level Agreements for data sets in allocated areas of ownership
- Ability to communicate data-driven stories and influence partners with clear insights and recommendations
- Ability to build credibility through structure and clarity, and act as a trusted strategic partner
