Описание
What Impact You'll Have GRVTY is seeking a Data Operations Engineer to support the reliability, availability, and timely delivery of mission-critical data. In this customer-facing DataOps role, you will coordinate technical operations, guide dataflow owners, and help evolve high-volume data pipelines toward reliable, automated, and proactively monitored services. What You'll be Owning Serve as a technical point of contact with customer stakeholders; translate mission data needs into engineering tasks, workflows, and clear delivery expectations.
Help lead day-to-day DataOps activities and coordinate flow owners responsible for monitoring, maintaining, and improving data infrastructure. Oversee dataflow deployment and maintenance using standardized engineering templates, core libraries, and reusable processes. Monitor pipeline health, data availability, system uptime, and discovery latency across distributed messaging, orchestration, and cloud environments.
Tune cluster and pipeline performance; diagnose systemic dataflow and platform-stability issues and coordinate technical remediation. Implement automated quality gates, schema checks, and validation workflows to protect production data integrity. Improve ETL workflows, metadata completeness, network-data handling, and the consistency of data delivered to analysts and customers.
Apply scripting, automation, and operational feedback to help transition from reactive troubleshooting to proactive, adaptive data operations. Share
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