Meta AR/VR Job | Data Engineer, Analytics | Quest
Job（岗位）: Data Engineer, Analytics | Quest
Type（岗位类型）: Data Engineering
Citys（岗位城市）: Washington, DC
Date（发布日期）: 2023-6-24
Summary（岗位介绍）
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.
Qualifications（岗位要求）
Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:
Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
Programming in Python, Perl, Java, or PHP
Internet technologies: HTML, CSS, or JavaScript
Writing SQL statements
Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
Data warehousing architecture and plans
Informatica, Talend, Pentaho, dimensional data modeling, or schema design
MapReduce or MPP system
Hadoop, HBase, or Hive
Description（岗位职责）
Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision-making
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage SLA for all data sets in allocated areas of ownership
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
Exercise judgment within defined procedures and practices to determine appropriate action
In connection with these duties, may apply knowledge of the following: Features, design, and use-case scenarios across a big data ecosystem, Custom ETL design, implementation, and maintenance, Object-oriented programming languages, Schema design and dimensional data modeling, Writing SQL statements, Analyzing data to identify deliverables, gaps and inconsistencies, Managing and communicating data warehouse plans to internal clients, MapReduce or MPP system, and Python
$190,120.00/year to $224,000.00/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 or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits
