Data Engineer
Description For Data Engineer
Meta (formerly Facebook) is seeking a Data Engineer to join their team in New York. This role combines technical expertise in data engineering with business impact, working on some of the world's largest data sets across Meta's family of apps including Facebook, Instagram, and WhatsApp.
The position requires a Master's degree and 2 years of relevant experience, focusing on building and maintaining robust data infrastructure that powers Meta's products and decision-making processes. You'll be responsible for managing data warehouse plans, implementing ETL processes, and ensuring data quality and security across various systems.
As a Data Engineer at Meta, you'll work with cutting-edge technologies and handle massive-scale data challenges. You'll collaborate with cross-functional teams including engineers, product managers, and data scientists to drive data-driven decisions. The role offers exposure to both traditional data warehousing and modern streaming data processing, requiring expertise in Python, SQL, and various big data technologies.
Meta offers a competitive compensation package ranging from $209,720 to $235,400 annually, plus bonus and equity opportunities. The company is at the forefront of social technology and is pushing boundaries in AR/VR, making this an exciting opportunity for someone looking to work on next-generation social platforms.
The ideal candidate will have strong technical skills in data modeling, ETL processes, and data visualization, combined with the ability to translate business requirements into technical solutions. You'll be working in a fast-paced environment where you can make a significant impact on products used by billions of people worldwide.
This role offers excellent growth opportunities within Meta's data organization, working with some of the industry's best talent while helping shape the future of social connection and virtual reality experiences. The position is based in New York, offering the chance to work from one of Meta's major tech hubs.
Responsibilities For Data Engineer
- Manage and execute data warehouse plans for products to solve well-scoped problems
- Identify data needs and implement logging requirements
- Collaborate with engineers, product managers and data scientists
- Build data expertise and leverage data controls for privacy, security, and compliance
- Design, build and launch new data models and visualizations
- Design, build and launch new ETL processes
- Support existing processes and implement optimized solutions
- Define and manage SLA for data sets
Requirements For Data Engineer
- Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or related field
- 2 years experience in Data ETL design and implementation
- Experience in developing and managing data warehousing architecture
- Schema design and dimensional data modeling experience
- Experience in processing and analyzing streaming data
- Experience parsing and mining TBs of unstructured data
- Python programming skills
- SQL proficiency
- Experience with dashboard visualization (Tableau or PowerBI)
- Experience with MapReduce or MPP systems
- Experience in CyberSecurity threat analysis and UEBA
Benefits For Data Engineer
- bonus
- equity
- benefits package
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