About the role
Zoom is hiring Software Engineers for its Data Foundation team. The role focuses on building scalable data platforms, engineering production-grade data pipelines, designing semantic layers, and enabling reliable analytics and AI-powered data systems. How to Apply: Apply through the official Zoom Careers portal.
Responsibilities
- Design and build scalable batch and streaming data pipelines
- Own data quality, monitoring, testing, and observability
- Build and maintain semantic and metric layers
- Design enterprise-scale data models and architectures
- Develop AI-powered data engineering solutions using Generative AI frameworks
- Collaborate with business and AI teams on data platform architecture
Requirements
- 6+ years of software engineering experience
- Strong experience in data architecture and system design
- Proficiency in Python, Java, or Scala
- Expertise in dimensional modeling, Data Vault, or One Big Table
- Experience with batch and streaming data pipelines
- Experience working with business stakeholders and enterprise-scale systems
Benefits
- Remote work
- Competitive compensation
- Comprehensive health and wellness benefits
- Career growth opportunities
- Work on large-scale AI and data platform initiatives
Required Skills
Frequently Asked Questions
What is the salary for Software Engineer, Data Foundation?
The listed salary for Software Engineer, Data Foundation at Zoom is ₹45 - ₹75 LPA.
Where is this Software Engineer, Data Foundation role located?
This position is based in India (Remote).
What experience is required for Software Engineer, Data Foundation?
Candidates are expected to have 6+ years of experience for this role.
How do I apply for Software Engineer, Data Foundation at Zoom?
Apply directly through the application link on this HireDoor job page for Software Engineer, Data Foundation at Zoom.
What are the key benefits for Software Engineer, Data Foundation?
Key benefits include: Remote work; Competitive compensation; Comprehensive health and wellness benefits; Career growth opportunities; Work on large-scale AI and data platform initiatives.