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
- Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation.
- Telecommute from anywhere in the U.S. permitted.
- Three years of experience in the following
- Managing and communicating data warehouse plans to internal clients
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
