Associate Staff Engineer - DataOps

Posted 8 Days Ago
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Rio, Rio de Janeiro, BRA
Hybrid
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Manage data and infrastructure operations across SQL, CI/CD, cloud deployments, monitoring, incident management, and automation. Support reliable data pipelines and analytics platforms through observability, root cause analysis, capacity planning, and performance optimization. Collaborate with global engineering, product, infrastructure, security, and compliance teams. Use Python or Shell, Terraform, and Ansible to improve operational efficiency while participating in Agile delivery and a 24/5 rotational support model.
Summary Generated by Built In
Company Description

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 (15000+ experts across 26 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 Description

This hybrid role bridges Data Operations, DevOps, and Infrastructure Support, ensuring data-driven systems remain reliable, performant, and continuously optimized.

Responsibilities:

  • Manage end-to-end data and infrastructure operations, from writing SQL queries to CI/CD pipeline creation and optimization and VM and cloud-based deployments.
  • Drive incident and request management through ServiceNow, ensuring SLA compliance, ownership, and proactive issue resolution.
  • Implement and refine monitoring and observability frameworks using Datadog; Grafana; Prometheus to maintain uptime, identify bottlenecks, and enhance system reliability.
  • Collaborate across global teams including Data Engineering, Product, and IT Infrastructure to resolve production issues, improve deployment practices, and optimize system performance.
  • Conduct root cause analyses and contribute to blameless post-incident reviews and preventive action plans.
  • Collaborate with security and compliance teams to uphold operational standards and data protection practices.
  • Contribute to automation and continuous improvement initiatives through scripting (Python, Shell) and infrastructure-as-code (Terraform, Ansible) principles
  • Support the data lifecycle, ensuring accuracy, integrity, and accessibility of data pipelines and dashboards across analytics platforms.
  • Collaborate with Data Engineering teams to ensure data pipelines, ETL processes, and analytics platforms are performant, reliable, and production-ready.
  • Collaborate on capacity planning, scaling, and performance optimization to ensure reliability during growth and high-load scenarios.
  • Use operational metrics (MTTR, uptime, failure rate, latency) to drive service reliability improvements 
  • Participate in Agile ceremonies within a Scrum/Kanban model, aligning with delivery squads to ensure cross-functional visibility and operational excellence.
  • Operate within a 24-5 rotational model, supporting mission-critical environments and ensuring business continuity across time zones.

What You Will Bring Experience:

  • 6 to 8+ years in DataOps, DevOps, infrastructure operations, site reliability engineering or analytics platform support
  • Technical Expertise:
    • Intermediate SQL for data extraction, transformation, and diagnostics  
    • Strong understanding of CI/CD pipelines (Jenkins, Azure DevOps, Git-based version control)
    • Proficiency in monitoring and observability tools (Datadog, Grafana, Prometheus)
    • Hands-on with Python or Shell scripting for automation and diagnostics
    • Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Knowledge of AWS services is a must
    • Solid grasp of infrastructure-as-code concepts (Terraform, Ansible)
  • Operational Excellence: Proven record in incident management, maintaining SLA/SLI/SLO s for critical systems and escalation handling in enterprise environments  
  • Analytical Mindset: Ability to interpret system and data metrics, identify trends, and recommend performance improvements
  • Collaboration: Strong communication skills with cross-functional, global teams across technical and non-technical domains
  • Agility: Comfort working in dynamic, fast-paced environments, maintaining composure and prioritization under pressure

Qualifications

Must have Skills: SQL (Strong), DevOps - AWS (Strong), Python (Strong), CI/CD pipelines

Good To Have Skills: Datadog; Grafana; Prometheus

Skills Required

  • 6 to 8+ years of experience in DataOps, DevOps, infrastructure operations, site reliability engineering, or analytics platform support
  • Strong SQL skills for data extraction, transformation, and diagnostics
  • Strong DevOps and AWS skills
  • Strong Python skills
  • Experience with CI/CD pipelines
  • Experience with Jenkins, Azure DevOps, and Git-based version control
  • Proficiency with Datadog, Grafana, and Prometheus
  • Experience with Python or Shell scripting for automation and diagnostics
  • Familiarity with Docker and Kubernetes
  • Familiarity with cloud platforms including AWS, Azure, and GCP; AWS knowledge is required
  • Understanding of Terraform and Ansible infrastructure-as-code concepts
  • Experience with incident management, SLA/SLI/SLO maintenance, and escalation handling in enterprise environments
  • Ability to interpret system and data metrics and recommend performance improvements
  • Strong communication and cross-functional collaboration skills
  • Ability to work in dynamic, fast-paced environments and prioritize under pressure
  • Availability for a 24/5 rotational support model

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

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.

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