Meta Platforms, Inc. (Meta) is looking to solve data warehousing and data modeling challenges to drive impact through informed decision-making and build the next evolution in social technology.
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
- MapReduce or MPP system
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 degree 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 data analytics or computer-related occupation.
- Managing and communicating data warehouse plans to internal clients
- Python
- For those who live in or expect to work from California if hired for this position, please click here for additional information.
- Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
