We are seeking a DataOps Engineer to join Tech Delivery and Infrastructure Operations teams, playing a key role in ensuring the reliability, automation, and performance of our analytics and data platforms. This role is primarily DataOps-focused, combining elements of DevOps and SRE to sustain and optimize data-driven environments across global business units.
Requirements
- Manage and support data pipelines, ETL processes, and analytics platforms, ensuring reliability, accuracy, and accessibility
- Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
- Implement monitoring and observability using Datadog, Grafana, and Prometheus to track system health and performance
- Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines (Jenkins, Azure DevOps, Git)
- Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation of data environments
- Support incident and request management via ServiceNow, ensuring SLA adherence and root cause analysis
- Work closely with security and compliance teams to maintain data governance and protection standards
- Participate in Agile ceremonies within Scrum/Kanban models to align with cross-functional delivery squads