What are the responsibilities and job description for the Data Engineer, GMS position at Meta?
**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, WhatsApp, and Novi 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.Instructions on how to apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, GMS Responsibilities:
1. Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components, such as advertisements and pages, as well as other custom software systems and databases
2. Design, architect, and develop data solutions that help product and business teams make data-driven decisions
3. 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 work on Data Warehouse and Operational Data Store
4. Provide insights that influence the overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment
5. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate
6. Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks
7. 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
8. Support end users on ad hoc data usage and serve as subject matter experts on functional matters
9. Develop ETL using Python, Pen PHP, or similar technologies
10. Work with ETL techniques and best practices to manage extremely large volumes of data
11. Work with Data warehousing architecture and data modeling best practices
12. Hadoop, HBase, and Hive: File Systems, server architectures, and distributed systems: and MicroStrategy or other similar Business Intelligence (BI) reporting solutions
13. Work with database programming and performance tuning techniques
**Minimum Qualifications:**
Minimum Qualifications:
14. Requires a Master's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, or a related field and two years of work experience in the job offered or in an operations automation or computer-related occupation. Requires two years of experience in the following:
15. Data warehouse space, custom ETL design, implementation, and maintenance
16. DSQL and development experience in at least one language: Java, C , Perl, PHP, or Python
17. Data architecture, data modeling, schema design, and software development
18. Leading data-driven projects from definition through interpretation and execution
19. Large data sets, Hadoop, and data visualization tools
20. Initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders
**Industry:** Internet
**Equal Opportunity:** Facebook is proud to be an Equal 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. Facebook 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 address blocked ] - Click here to apply to Data Engineer, GMS.
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, WhatsApp, and Novi 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.Instructions on how to apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, GMS Responsibilities:
1. Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components, such as advertisements and pages, as well as other custom software systems and databases
2. Design, architect, and develop data solutions that help product and business teams make data-driven decisions
3. 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 work on Data Warehouse and Operational Data Store
4. Provide insights that influence the overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment
5. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate
6. Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks
7. 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
8. Support end users on ad hoc data usage and serve as subject matter experts on functional matters
9. Develop ETL using Python, Pen PHP, or similar technologies
10. Work with ETL techniques and best practices to manage extremely large volumes of data
11. Work with Data warehousing architecture and data modeling best practices
12. Hadoop, HBase, and Hive: File Systems, server architectures, and distributed systems: and MicroStrategy or other similar Business Intelligence (BI) reporting solutions
13. Work with database programming and performance tuning techniques
**Minimum Qualifications:**
Minimum Qualifications:
14. Requires a Master's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, or a related field and two years of work experience in the job offered or in an operations automation or computer-related occupation. Requires two years of experience in the following:
15. Data warehouse space, custom ETL design, implementation, and maintenance
16. DSQL and development experience in at least one language: Java, C , Perl, PHP, or Python
17. Data architecture, data modeling, schema design, and software development
18. Leading data-driven projects from definition through interpretation and execution
19. Large data sets, Hadoop, and data visualization tools
20. Initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders
**Industry:** Internet
**Equal Opportunity:** Facebook is proud to be an Equal 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. Facebook 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 address blocked ] - Click here to apply to Data Engineer, GMS.
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