This role involves managing data pipelines and analytics platforms, implementing automation and monitoring, ensuring data quality and governance, and collaborating with DevOps teams.
Company Description
👋🏼 We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17,500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job DescriptionREQUIREMENTS:
- Total experience: 7+ years
- Extensive experience in DataOps, Data Engineering Operations, or Analytics Platform Support, with strong exposure to DevOps/SRE practices.
- Proficiency in SQL and Python/Shell scripting for automation and data diagnostics.
- Hands-on experience with cloud platforms (AWS mandatory; Azure/GCP is a plus).
- Familiarity with CI/CD tools (Jenkins, Azure DevOps), version control (Git), and Infrastructure-as-Code frameworks (Terraform, Ansible).
- Working knowledge of monitoring tools (Datadog, Grafana, Prometheus).
- Understanding of containerization concepts (Docker, Kubernetes).
- Strong grasp of data governance, observability, and quality frameworks.
- Experience in incident management and operational metrics tracking (MTTR, uptime, latency).
RESPONSIBILITIES:
- 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 Infrastructure 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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field
Top Skills
Ansible
AWS
Azure
Azure Devops
Datadog
Docker
GCP
Git
Grafana
Jenkins
Kubernetes
Prometheus
Python
Shell
SQL
Terraform
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