Job Description

Employment Type: Full-time

Position Overview

This role is crucial for Zoom's growth, enabling the Product Intelligence team to deliver timely, high-quality product usage insights that drive product growth and adoption. The Data team empowers data-informed decision-making across Zoom’s products. This role ensures continued support for Product teams in understanding adoption trends and shaping growth strategies. Additionally, by upholding strong data practices, this position helps ensure compliance with consent, privacy, and regulatory standards expected by hundreds of millions of users, making it essential for innovation and building trust at scale.

About the Team

The Product Intelligence team operates at the intersection of data and product, making it an exciting and high-impact group. You will work closely with data engineers, analysts, scientists, and product managers to solve meaningful problems that directly shape the user experience across Zoom’s products. This team is uniquely positioned to influence product strategy through data-driven insights and scalable analytical solutions. As a Data Engineer, you will have the opportunity to work on cutting-edge data initiatives, collaborate cross-functionally, and see the real-world impact of your work on millions of users, making this a rewarding and intellectually stimulating environment.

What We Are Looking For

• Education: Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience: Minimum of 4 years of experience in data engineering and application development roles.
• Technical Skills:
  • Advanced proficiency in SQL and data modeling, with experience designing and optimizing scalable data models.
  • Good understanding of asynchronous event-driven applications and data pipelines using Kafka, SQS, Kinesis, etc.
  • Strong programming skills, preferably in Python or Java, with hands-on experience building APIs and microservices.
  • Experience working with cloud platforms (preferably AWS), including cloud-native application development, networking, and security.
  • Hands-on experience with AWS services such as ECS, Fargate, CloudFormation, Lambda, etc.
  • Practical experience with Infrastructure as Code tools like Terraform.
  • Proficiency with CI/CD pipelines, containerization (e.g., Docker), and build tools.
  • Familiarity with modern data engineering stacks such as dbt and Snowflake.
• Plus: Exposure to AI-enabled or data-driven development environments (e.g., Windsurf, Cursor).

Responsibilities

The ideal candidate will have strong experience in building data applications end-to-end, from designing to developing robust, cloud-native backend data services. You will also bring a solid understanding of data engineering, with the ability to build scalable data pipelines. This role involves creating high-quality, scalable microservices and APIs that serve both internal tools and external client applications. We are looking for someone passionate about working in a fast-paced, AI-driven data environment, bringing not only strong data engineering expertise but also solid full-stack software engineering skills.

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Design and develop data applications with scalable backend data APIs.
• Design and develop cloud-native, scalable data APIs on cloud (preferably AWS) to support Zoom internal applications.
• Work closely with stakeholders (PM, Data analysts & Data scientists) to understand business requirements and translate them into data products.
• Implement and uphold data governance practices, particularly around product usage data.

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person, is indicated in the job description/posting.

• Location Type: [Information not provided]
• Work Style: Remote (India)

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits include: [Information not provided]

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