About The Position

The Data Reliability Engineer will support data observability, ETL and integrations, SaaS platform connections, cloud and container platforms, and databases. The role involves monitoring and troubleshooting data movement across SaaS, hybrid, and on-premises environments, maintaining visibility into complex data flows, and supporting integration changes.

Requirements

  • Strong experience with observability tools such as Grafana, Splunk, or Prometheus.
  • Familiarity with distributed tracing, including AppDynamics and OpenTelemetry.
  • Proficiency in Python, Bash, and automation with Ansible.
  • Strong ETL and integration experience, including understanding of data lineage, data quality, and multistep integration orchestration.
  • Familiarity with microservices, API integrations, event-driven architecture, and Kafka/MQ.
  • Experience with OpenShift, Kubernetes, and containerized environments.
  • Familiarity with CI/CD pipelines.
  • Experience with Oracle, SQL Server, PostgreSQL, and MongoDB.
  • Strong knowledge of data governance and compliance frameworks.

Responsibilities

  • Monitor and troubleshoot horizontal data movement across SaaS, hybrid, and on-premises environments.
  • Visualize and monitor complex data flows across multiple systems.
  • Support SaaS-to-SaaS, internal-to-external, and vendor-to-in-house integrations.
  • Support vendor-driven changes and maintain observability coverage.
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