Zoom is seeking a Big Data Engineer to build, optimize, and maintain the data pipelines that power our platform. You will work with a team of senior engineers to handle high-volume data and support our AI initiatives, enabling data-driven decision-making across the company.

What You'll Do

Design, develop, and maintain ETL processes and data pipelines for structured and unstructured data.
Optimize data warehouses and analytical data models.
Write and tune complex SQL queries to support analytics, reporting, and application needs.
Collaborate with stakeholders to translate business thinking into data transformations and workflows.
Implement distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.
Build streaming and messaging solutions using Apache Kafka.
Work with and optimize solutions in the big data ecosystem, including tools like Hive, Presto, HDFS, Parquet, and ORC.
Deploy and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.
Develop scripts in Linux/Unix shell for automation and data processing tasks.

What We're Looking For

A Bachelor’s degree in Computer Science, Data Engineering, or a related field, OR 1–3 years of relevant professional experience.
Expertise in ETL design, development, and data warehousing concepts.
Expertise in SQL by writing and optimizing complex queries.
Deep expertise in Python programming, with a focus on object-oriented principles.
Experience with distributed data processing frameworks like Apache Spark and Apache Flink.
Experience with AWS or other major cloud platforms.
Proficiency in Linux/Unix shell scripting.
Solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Technical Stack

Apache Spark, Apache Kafka, SQL, Python, Scala, Apache Flink
AWS, Hive, Presto, Hadoop, HDFS, Parquet, ORC
Kubernetes, Linux/Unix shell

Team & Environment

You will join a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization.