22 days old

Data Engineer - Zoom Video Communications

San Jose, California

The Data Science team lies at the foundation of Zoom’s success - you'll be working cross-functionally with teams of engineers, scientists, marketers, and product professionals on some of the most critical projects in the company - whether it's exploratory research to predict user behavior, or running experiments to optimize untapped areas of growth, or developing machine learning models that deliver “happiness” to our users more consistently and at scale.

If you are passionate about data engineering and looking to join a fun and fast-moving team, we’d love to meet you! Our team is taking Zoom's data culture to the next level by integrating predictive models into our infrastructure, and we are looking for someone like you to help us get there!

This role is based out of our headquarters in beautiful downtown San Jose, California

Responsibilities

  • Own and optimize Zoom’s data architecture to address the data needs of our rapidly-growing business
  • Join a group of passionate people committed to delivering “happiness” to our users and to each other
  • Partner with data scientists, sales, marketing, operation, and product teams to build and deploy machine learning models that unlock growth
  • Build custom integrations between cloud-based systems using APIs
  • Write complex and efficient queries to transform raw data sources into easily accessible models by coding across several languages such as Java, Python, and SQL
  • Architect, build, and launch new data models that provide intuitive analytics to the team
  • Build data expertise and own data quality for the pipelines you create

Requirements

Requirements

  • Three or more years of relevant software engineering experience (Python, Scala and Java) in a data-focused role
  • Passion for creating data infrastructure technologies from scratch using the right tools for the job
  • A knack for writing, clean, readable, maintainable code
  • Comfort with open source technologies like Kafka, Hadoop, Hive, Presto, and Spark
  • Expertise in building out data pipelines, efficient ETL design, implementation, and maintenance
  • Experience with AWS tools
  • Proven track-record of solving complex data processing and storage challenges through scalable, fault-tolerant architecture

Categories

Posted: 2020-05-08 Expires: 2020-07-07

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Data Engineer - Zoom Video Communications

Zoom Video Communications
San Jose, California

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