Zoom Video Communications

1 week ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Design and scale data systems that connect product usage to revenue outcomes. Build reliable real-time and batch pipelines that unify telemetry, customer lifecycle data, and revenue metrics into a trusted single source of truth. Lead telemetry event contracts and identity resolution, and partner with data science to deliver feature pipelines, training datasets, and low-latency scoring infrastructure. Establish governance, quality, monitoring, incident response, privacy compliance, and self-service data modeling practices.

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build end-to-end data architecture unifying product telemetry, customer lifecycle, and revenue metrics into a trusted single source of truth.
•Develop and maintain scalable distributed real-time and batch pipelines integrating product usage, CRM, and billing systems for closed-loop revenue attribution.
•Implement standardized telemetry frameworks across platforms by defining event contracts and solving identity resolution challenges across devices and products.
•Partner with data science to build data foundations for machine learning, including feature pipelines, training datasets, and low-latency scoring infrastructure.
•Establish reliability and governance standards: data quality frameworks, monitoring, incident response, privacy compliance, and self-service data modeling practices.

Key Requirements

•8+ years of experience in Data Engineering / Distributed Systems.
•Experience designing and operating large-scale data platforms in production with measurable business impact.
•Build production-grade data pipelines using Python and advanced SQL, focused on performance and reliability.
•Operate modern data warehouses such as Snowflake or Databricks and orchestration tools such as Airflow or Dagster.
•Apply data modeling best practices using dbt (or equivalent) to create testable, documented, backward-compatible models enabling self-service analytics.

Experience:8+ yearsSaaSProduct-led growth

Skills:ReliabilityGovernanceCollaboration

Tech Stack:PythonSQLSnowflakeDatabricksAirflowDagsterDbtCRMBillingMachine learningFeature storesReal-time scoringEvent telemetryData modeling

Company Brief

Zoom Video Communications

Provides video conferencing, chat, phone, webinar, and collaboration software for businesses, schools, and individuals. Its platform is widely used for remote meetings, virtual events, and hybrid work communication.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn

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Zoom Video Communications

1 week ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build end-to-end data architecture unifying product telemetry, customer lifecycle, and revenue metrics into a trusted single source of truth.
•Develop and maintain scalable distributed real-time and batch pipelines integrating product usage, CRM, and billing systems for closed-loop revenue attribution.
•Implement standardized telemetry frameworks across platforms by defining event contracts and solving identity resolution challenges across devices and products.
•Partner with data science to build data foundations for machine learning, including feature pipelines, training datasets, and low-latency scoring infrastructure.
•Establish reliability and governance standards: data quality frameworks, monitoring, incident response, privacy compliance, and self-service data modeling practices.

Key Requirements

•8+ years of experience in Data Engineering / Distributed Systems.
•Experience designing and operating large-scale data platforms in production with measurable business impact.
•Build production-grade data pipelines using Python and advanced SQL, focused on performance and reliability.
•Operate modern data warehouses such as Snowflake or Databricks and orchestration tools such as Airflow or Dagster.
•Apply data modeling best practices using dbt (or equivalent) to create testable, documented, backward-compatible models enabling self-service analytics.

Experience:8+ yearsSaaSProduct-led growth

Skills:ReliabilityGovernanceCollaboration

Tech Stack:PythonSQLSnowflakeDatabricksAirflowDagsterDbtCRMBillingMachine learningFeature storesReal-time scoringEvent telemetryData modeling

Company Brief

Zoom Video Communications

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn