Data Engineer, Analytics
Menlo Park, California
Employer: Meta
Industry:
Salary: Competitive
Job type: Full-Time
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
Data Engineer, Analytics Responsibilities
Minimum Qualifications
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Data Engineer, Analytics 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.
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
- 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.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Telecommute from anywhere in the U.S. permitted.
Minimum Qualifications
- Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Science, or a related field and 60 months of progressive, post- baccalaureate experience in the job offered or in a computer-related occupation. Requires 60 months of experience involving the following:
- 1. Features, design, and use-case scenarios across a big data ecosystem
- 2. Custom ETL design, implementation, and maintenance
- 3. Schema design and dimensional data modeling
- 4. Managing and communicating data warehouse plans to internal clients
- 5. MapReduce or MPP system and
- 6. Python.
Start preparing
Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences.
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Created: 2024-08-27
Reference: 1151255432612245
Country: United States
State: California
City: Menlo Park
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