Staff Engineer – DataOps Engineer

November 21

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Nagarro

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B2B • Enterprise • Technology Consulting

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

10,000+ employees

Founded 1996

🤝 B2B

🏢 Enterprise

📋 Description

• 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

🎯 Requirements

• 6 years in DataOps, Data Engineering Operations, or Analytics Platform Support, with good exposure to DevOps/SRE practices • Proficiency in SQL and Python/Shell scripting for automation and data diagnostics • Experience with cloud platforms (AWS mandatory; exposure to Azure/GCP a plus) • Familiarity with CI/CD tools (Jenkins, Azure DevOps), version control (Git), and IaC frameworks (Terraform, Ansible) • Working knowledge of monitoring tools (Datadog, Grafana, Prometheus) • Understanding of containerization (Docker, Kubernetes) concepts • Strong grasp of data governance, observability, and quality frameworks • Experience in incident management and operational metrics tracking (MTTR, uptime, latency)

🏖️ Benefits

• Employees can work remotely