"Alerted.org

Summary:

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.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

1. Design and develop creative and innovative solutions to transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases.

2. Facilitate visibility and consumption of the domains and components via appropriate interfaces.

3. Design, architect, and develop data solutions that help product and business teams make data driven decisions.

4. Lead data solution design efforts from beginning to end, as well as processes for the development and implementation of data integration for external insights, and will perform data engineering efforts for the Data Warehouse and Operational Data Store.

5. Provide insights that influence overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment.

6. Leverage homegrown Extract, Transform, Load (ETL) framework as well as the off-the-shelf tools, as appropriate.

7. Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks.

8. They will provide consultation to business partners, including analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions.

9. Will also support end users on ad hoc data usage and serve as subject matter experts on functional matters.

Minimum Qualifications:

Minimum Qualifications:

10. Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.

11. Requires completion of a university-level course, research project, internship, or thesis in the following:

12. 1. Features, design, and use-case scenarios across a big data ecosystem

13. 2. Custom ETL design, implementation, and maintenance

14. 3. Object-oriented programming languages

15. 4. Schema design and dimensional data modeling

16. 5. Writing SQL statements

17. 6. Analyzing data to identify deliverables, gaps, and inconsistencies

18. 7. Managing and communicating data warehouse plans to internal clients

19. 8. MapReduce or MPP system and

20. 9. Python.

Public Compensation:

$181,151/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].