Telemetry Data Engineer at Orcapod… · Hybrid -…

Telemetry Data Engineer

Job Summary

We are looking for a Telemetry Data Engineer with strong hands-on experience in OpenTelemetry (OTel) and data engineering. The role will focus on building, managing, and optimizing telemetry pipelines that collect, process, transform, and distribute logs, metrics, and traces across large-scale distributed systems.

The ideal candidate should have practical experience with OpenTelemetry Collector, telemetry pipelines, distributed tracing, data ingestion, streaming technologies, and cloud environments.

Key Responsibilities

• Design, build, and maintain scalable telemetry and observability data pipelines.
• Implement and configure OpenTelemetry (OTel) for collecting logs, metrics, and distributed traces.
• Work hands-on with OpenTelemetry Collector, including receivers, processors, exporters, and pipeline configurations.
• Develop telemetry ingestion, transformation, enrichment, filtering, and routing pipelines.
• Integrate OpenTelemetry with applications, microservices, Kubernetes, and cloud platforms.
• Build and maintain real-time data pipelines using technologies such as Kafka or similar streaming platforms.
• Work with observability platforms such as Prometheus, Grafana, Jaeger, Tempo, ELK/OpenSearch, or equivalent tools.
• Troubleshoot telemetry collection, pipeline failures, data quality, latency, and observability issues.
• Collaborate with application, platform, DevOps, SRE, and engineering teams to improve system observability.
• Optimize telemetry pipelines for performance, scalability, reliability, and cost.
• Develop automation/scripts using Python, Java, or Go where required.
• Support production environments and participate in troubleshooting and root-cause analysis.

Required Skills

• Strong experience in Data Engineering / Data Pipelines / Observability Engineering.
• Hands-on OpenTelemetry experience is mandatory.
• Strong hands-on experience with OpenTelemetry Collector.
• Good understanding of logs, metrics, traces, and distributed tracing.
• Experience configuring OTel receivers, processors, exporters, and pipelines.
• Strong experience with Kafka or other streaming technologies.
• Programming/scripting experience in Python, Java, or Go.
• Experience working with Kubernetes and microservices.
• Experience with at least one cloud platform AWS, Azure, or GCP.
• Strong understanding of APIs, data ingestion, transformation, and processing.
• Good knowledge of SQL and data engineering concepts.
• Strong troubleshooting and production support skills.

Good to Have

• Experience with Prometheus, Grafana, Jaeger, Tempo, ELK, OpenSearch or similar observability platforms.
• Experience with cloud-native observability.
• Knowledge of OTLP (OpenTelemetry Protocol).
• Experience with Kubernetes observability and service instrumentation.
• Experience with CI/CD and Infrastructure as Code.
• Experience working with high-volume telemetry data.