Data engineering jobs at Zoom.

ZO

Zoom · zoom.wd5.myworkdayjobs.com · checked today

Senior Data Engineer (Online Data)

Skills, with evidence

• Airflow / orchestration
  Data engineering expertise: 8+ years of hands-on experience designing and optimizing complex data pipelines and ETL workflows, including error handling, monitoring, and performance tuning, using tools such as Snowflake, Databricks, Spark, Airflow, dbt, and Python.must havewrong?
• Data quality
  Implement automated data quality frameworks covering accuracy, completeness, consistency, and freshness, and establish alerting to identify and resolve data issues proactively.must havewrong?
• Python
  Data engineering expertise: 8+ years of hands-on experience designing and optimizing complex data pipelines and ETL workflows, including error handling, monitoring, and performance tuning, using tools such as Snowflake, Databricks, Spark, Airflow, dbt, and Python.must havewrong?
• SQL
  SQL and database mastery: Proficiency designing normalized schemas, optimizing complex queries, and applying advanced database features for high-performance analytical workloads.must havewrong?
• Spark
  Data engineering expertise: 8+ years of hands-on experience designing and optimizing complex data pipelines and ETL workflows, including error handling, monitoring, and performance tuning, using tools such as Snowflake, Databricks, Spark, Airflow, dbt, and Python.must havewrong?
• dbt
  Data engineering expertise: 8+ years of hands-on experience designing and optimizing complex data pipelines and ETL workflows, including error handling, monitoring, and performance tuning, using tools such as Snowflake, Databricks, Spark, Airflow, dbt, and Python.must havewrong?
• Machine learning
  Machine learning and statistical methods: Experience developing and optimizing ML solutions, designing and executing hypothesis testing strategies, and applying statistical techniques to validate analytical approaches.must have · not practised herewrong?
• Cost & performance
  In this role, you will design, build, and optimize the data pipelines and analytical solutions that power Zoom’s Online business, including billing, checkout, growth, and revenue analytics.wrong?
• Failure handling
  Design and implement scalable ETL workflows and data pipelines that transform raw data into structured, analytics-ready formats, with automated validation checks and monitoring to ensure ongoing quality and reliability.wrong?
• Governance & security
  Establish and maintain data governance practices, including data definitions, lineage, ownership documentation, and access controls for sensitive data, in collaboration with cross-functional stakeholders.not practised herewrong?