Zoom Apps bring best of breed applications into the Zoom experience for seamless productivity and engaging experiences

Responsibilities

• Partner with architecture and other senior leads to address the data needs of our rapidly-growing business

• 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

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Requirements

• Three or more years of relevant software engineering experience (Python, Scala or Java) in a data-focused role

• Experience in building and deploying machine learning models

• Experience with K8S, EMR, AWS SageMaker, Hive

• Passion for creating data infrastructure technologies from scratch using the right tools for the job

• Experience in solving complex data processing and storage challenges through scalable, fault-tolerant architecture

• Experience in designing and building highly scalable and reliable data pipelines using BigData (Airflow, Python, Redshift/Snowflake).

• Software development experience with proficiency in Python, Java, Scala or another language.

• Passionate about data engineering, analytics, distributed systems and solving complex data problems.

• Prior experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases

• Applicants must be currently authorized to work in the United States on a full-time basis

• Excellent communication skills

• BS degree in a related field, MS preferred