Meta is looking to solve data challenges at a scale few companies can match, to optimize growth, strategy, and user experience for its 3 billion plus users, as well as its internal employee community.
Requirements
- 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C-Sharp, Scala or others.)
- Experience working with data, including roles such as data analyst, data scientist, data engineer, or similar positions
- SQL
- ETL
- Data modeling
- Programming language (e.g., Python, C++, C-Sharp, Scala or others)
- Data extraction, transformation and loading processes
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
- 2+ years of experience where the primary responsibility involves working with data
- Master's or Ph.D degree in a STEM field (preferred)
- Travel requirements not specified
- Clearance requirements not specified
