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 (18000+ experts across 36 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 DescriptionWe 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.
You will manage end-to-end data operations from SQL diagnostics and data pipeline reliability to automation, monitoring, and deployment of analytics workloads on cloud platforms. You'll collaborate with Data Engineering, Product, and Infrastructure teams to maintain scalable, secure, and high-performing systems.
Key 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 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
Required Skills & Experience
- 7 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)
Qualifications
Must have Skills: Python (Strong), SQL (Strong), DevOps - AWS (Strong), DevOps - Azure (Strong), DataDog.
Skills Required
- 7 years of experience in DataOps, Data Engineering Operations, or Analytics Platform Support
- Experience with DevOps and SRE practices
- Strong proficiency in Python
- Strong proficiency in SQL
- Strong proficiency in AWS DevOps
- Strong proficiency in Azure DevOps
- Experience with DataDog
- Experience with cloud platforms, with AWS mandatory
- Familiarity with Jenkins and Azure DevOps
- Experience with Git version control
- Experience with Terraform and Ansible
- Working knowledge of Datadog, Grafana, and Prometheus
- Understanding of Docker and Kubernetes containerization concepts
- Understanding of data governance, observability, and quality frameworks
- Experience with incident management and operational metrics such as MTTR, uptime, and latency
- Exposure to Azure or GCP
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
