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
Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
Design, develop, test, and launch new data models and processes into production, and provide support.
Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
Identify data infrastructure issues and drive to resolution.
Minimum Qualifications
Masters in Information, Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, or a related field and 24 months in the job offered or in a related occupation.
Experience must include 24 months of experience involving the following:
1. Writing SQL statements
2. Dimensional data modeling
3. Schema design
4. Programming in C#
5. Programming in Visual Basic
6. Azure cloud
7. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
8. Programming in Python
9. Internet technologies: HTTP
10. Analyzing large volumes of data to provide data driven insights, gaps and inconsistencies
11. Map Reduce
12. Hadoop
13. Machine Learning
14. Programming in R.
LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $१,७१,११६/year to $१,९६,९००/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Your CV has been submitted successfully.
Complete form below to directly Send your CV / Linkedin Profile to Data Engineer, Analytics at Meta.
@
You will receive all responses from employer on this email
Example: Application for the post of 'Accountant'
Example: Introduce your self and give purpose of your application
*All fields are mandatory.
Loading...
META 1528 jobs found
Software Engineer, Systems at Meta
Menlo Park, United States
Data Engineer, Analytics at Meta
Menlo Park, United States
Software Engineer, Systems at Meta
New York City, United States
Technical Program Manager, Network Infra at Meta
, United States
Data Scientist, Product Analytics - Monetization at Meta