ZR_295 Senior Data Engineer

Job Summary

The Senior Data Engineer will own and support our data integration platform out of our India Development Center (IDC), working in close partnership with our global engineering team. This role is responsible for the creation and modification of data workflows, providing dedicated production support, and ensuring the reliability of the platforms infrastructure. The ideal candidate brings strong DevOps expertise combined with hands-on workflow and cluster management experience, and is comfortable working independently while staying closely aligned with the broader engineering team.

Experience

5 to 10 years of experience in data engineering, platform engineering, or DevOps, with demonstrated seniority in owning production systems.

Core Skills

• Strong hands-on expertise in Node.js for building and modifying data workflows

• Experience with n8n (workflow automation tool) nice to have

• Solid experience with AWS, including EKS and cluster management

• Strong DevOps expertise deployment, infrastructure automation, and operational reliability

• Database expertise across MySQL and Snowflake

• Ability to independently manage production incidents and drive technical maintenance

• Strong communication and cross-functional collaboration skills, given close partnership with the global engineering team

  Key Responsibilities

• Own and support our data integration platform from the India Development Center (IDC), partnering closely with the global engineering team

• Design, build, and modify data workflows using Node.js (and n8n where applicable)

• Provide dedicated production support, monitor, troubleshoot, and resolve incidents on platform infrastructure

• Manage and maintain EKS clusters and related AWS infrastructure supporting the platform

• Apply DevOps best practices for deployment, automation, and infrastructure reliability

• Maintain and support MySQL and Snowflake database environments used by the platform

• Collaborate with the broader engineering team on workflow priorities, incident resolution, and technical decisions

• Ensure workflows and infrastructure are well-documented, supportable, and production-ready

• Proactively identify and address reliability, performance, and operational gaps in platform systems

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