Description

You will own the reliability and observability of ETL data pipelines and associated infrastructure.

Responsibilities

• Monitor and troubleshoot horizontal data movement across SaaS, hybrid, and on-prem environments.
• Implement and maintain observability coverage for complex data flows across multiple systems.
• Support and manage SaaS-to-SaaS and vendor-to-in-house integrations.
• Manage vendor-driven change processes while ensuring observability integrity.
• Apply SRE principles to incident response, RCA, and automation for data systems.

Required Skills

• 10+ years of relevant engineering experience.
• Strong experience with observability tooling: Grafana, Splunk, and Prometheus.
• Proficiency in scripting and automation using Python and Bash.
• Experience with ETL processes, data lineage, and multi-step integration orchestration.
• Familiarity with microservices, API integrations, and event-driven architecture.
• Working knowledge of containerized environments, including OpenShift and Kubernetes.
• Experience with CI/CD pipelines and platform engineering practices.
• Database proficiency across Oracle, SQL Server, PostgreSQL, and MongoDB.
• Understanding of data governance and compliance frameworks.

Key Skills

Education

Any Graduate