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 with business impact, requiring a master's degree and 2 years of relevant experience. The position involves managing data warehouse plans, implementing ETL processes, and ensuring data quality and security.
The ideal candidate will work at the intersection of data infrastructure and business intelligence, collaborating with cross-functional teams to deliver data-driven solutions. Key responsibilities include designing and launching data models, managing ETL processes, and implementing data governance practices.
This role offers an opportunity to work with massive datasets and cutting-edge technologies at one of the world's leading tech companies. Meta's work spans social media, virtual reality, and artificial intelligence, providing a diverse and challenging environment for professional growth.
The compensation package is competitive, ranging from $209,720 to $235,400 annually, plus bonus and equity opportunities. Meta offers comprehensive benefits and is committed to creating an inclusive workplace environment.
The position requires expertise in Python, SQL, data warehousing, and analytics tools like Tableau or PowerBI. Experience with big data technologies, security protocols, and data governance is essential. This role is perfect for someone who wants to impact billions of users while working with some of the largest datasets in the industry.
Meta's mission to connect people and build immersive experiences makes this an exciting opportunity for a data professional looking to work on innovative projects. The company's transition into metaverse technologies opens up new challenges and opportunities in data engineering.
The role combines technical depth with business impact, requiring both strong analytical skills and the ability to communicate effectively with stakeholders. Success in this position requires a balance of technical expertise, business acumen, and collaborative skills.
Responsibilities For Data Engineer
- Manage and execute data warehouse plans for products
- Identify data needs and implement logging requirements
- Collaborate with engineers, product managers and data scientists
- Build data expertise and leverage data controls for privacy and security
- 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 expertise
- Experience in processing and analyzing streaming data
- Expertise in parsing and mining TBs of unstructured data
- Experience with Python programming
- Proficiency in SQL
- Experience with dashboard visualization (Tableau or PowerBI)
- Knowledge of MapReduce or MPP systems
- Experience in CyberSecurity threat analysis and UEBA
Benefits For Data Engineer
- bonus
- equity
- benefits package
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