Meta Platforms, Inc. is looking to solve the problem of building technologies that help people connect, find communities, and grow businesses by hiring a Data Engineer (Analytics) to deliver the data foundation that drives impact through informed decision making.
Requirements
- Features, design, and use-case scenarios across a big data ecosystem
- Custom ETL design, implementation, and maintenance
- Object-oriented programming languages
- Schema design and dimensional data modeling
- Writing SQL statements
- Analyzing data to identify deliverables, gaps, and inconsistencies
- Python
Responsibilities
- Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
- Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
- Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Other
- Master's degree (or foreign equivalent) in Business Analytics, Data Analytics, Statistics, or a related field
- Completion of one graduate-level course, one research project, or one internship involving the specified technical skills
- Exercise judgment within defined procedures and practices to determine appropriate action
- Influence product and cross-functional teams to identify data opportunities to drive impact
- Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
