Home JobsSoftware Engineer Remote Job at Zoom India – Build Data Pipelines, ETL Systems and Scalable Cloud Data Platforms

Software Engineer Remote Job at Zoom India – Build Data Pipelines, ETL Systems and Scalable Cloud Data Platforms

Sourced from zoom.wd5.myworkdayjobs.com

Software Engineer

Remote

Full-Time

Posted March 17, 2026

Salary

10-15 LPA

Batches

Freshers

Apply Route

100% Direct

About The Role

Zoom is a globally recognized technology company best known for its cloud-based communication platform used by businesses, educational institutions, and enterprises worldwide. Headquartered in San Jose, the company has expanded far beyond video conferencing into intelligent collaboration, enterprise productivity, and cloud infrastructure solutions. Its engineering teams focus heavily on scalability, reliability, and data-driven product innovation. This remote India-based software engineering role is ideal for professionals who want to contribute to high-volume data systems, modern analytics infrastructure, and cloud-native engineering while working in a globally distributed environment 🌐🚀.

Responsibilities

Design and maintain scalable data pipelines for multiple structured and unstructured data sources.

Build ETL workflows that support analytics, reporting, and business intelligence systems.

Develop and optimize data warehouse architectures and analytical models.

Collaborate with engineers and analysts to convert business requirements into technical data workflows.

Implement distributed data processing and streaming solutions using modern big data technologies.

Ensure data quality, reliability, automation, and long-term scalability across systems.

Improve monitoring and operational efficiency for data infrastructure.

Requirements

Strong experience in designing ETL pipelines and scalable data models.
Proficiency in Python and SQL for data engineering tasks.
Hands-on experience with distributed processing tools such as Apache Spark or Flink.
Familiarity with AWS or similar cloud platforms for deploying data workloads.
Good understanding of Linux/Unix shell scripting for automation.
Ability to work effectively in remote engineering teams.

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