Engineer - Hardware Observability
Core
Build, maintain, and improve reliable data pipelines for hardware observability data to support SecOps, DevOps, and Observability use cases.
Role type
Data Engineer (Hardware Observability)
Builds
Data pipelines, ETL processes, validation checks, and pipeline tooling for infrastructure telemetry and metadata.
Domain
Retail / Infrastructure Observability
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, data modeling, ETL/ELT patterns, batch and streaming data processing, pipeline reliability, data quality implementation, schema evolution, automation tools, network technology fundamentals, SecOps practices
Preferred skills
Proficiency in general programming languages (Python, Java), domain-specific languages for data pipelines, root cause analysis, documentation of data definitions and lineage
Technologies
Python, Java, ETL tools, streaming frameworks, automation tools
Responsibilities
Develop and maintain data schemas and ETL processes; Monitor data quality and investigate pipeline failures; Contribute to documentation for data definitions and operational runbooks; Participate in code reviews, testing, deployment, and incident response.
Seniority
Junior to Mid-level, hands-on IC
