Lead Engineer, Data Systems & Reliability
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About the Role
Establish DataOps standards, enhance ETL frameworks, implement observability, and mentor engineers with expertise in Databricks, Spark, and Linux.
Key Skills for This Role
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Overview
Establish DataOps standards for CI/CD, automated testing, and release pipelines across Azure and on-prem storage.
Enhance modular frameworks for distributed ETL and compute in containerized (K8s) environments.
Implement deep observability, telemetry, and cost monitoring to ensure strict adherence to SLAs/SLOs.
Uplift the engineering team s capability in Python, Linux primitives, and infrastructure-as-code (Terraform/Ansible).
Mentor Engineers in the team on automation, testing, and monitoring.
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