DataOps Engineer - Careers at Nagarro
Nagarro
DataOps Engineer - Careers at Nagarro
Job Description
DataOps Engineer - Careers at Nagarro
Location: WFA/Remote, Portugal | Job ID: REF51094Z
Why Join Nagarro?
Nagarro stands out in the competitive world of tech careers by blending a Caring Mindset with unparalleled opportunities. Enjoy WFA/Remote flexibility in Portugal, allowing you to thrive without geographical constraints. Our Fluidic Enterprise model empowers you to navigate dynamic projects, fostering innovation and rapid career progression. Benefit from global opportunities, working with diverse teams across continents on high-stakes analytics platforms. We invest in your success through comprehensive training, mentorship, and a culture that celebrates work-life balance. As part of Nagarro Careers, you'll access cutting-edge tools like AWS, Datadog, Terraform, and Kubernetes, ensuring you're always at the forefront of DataOps excellence. Our commitment to employee wellness includes mental health support, flexible hours, and performance-driven rewards, making us the ideal choice for ambitious professionals seeking meaningful Software Engineering Jobs.
Digital Engineering Excellence
At Nagarro, digital engineering is our DNA. As a DataOps Engineer, you'll master end-to-end data operations, from SQL diagnostics and ETL pipelines to CI/CD integrations with Jenkins and Azure DevOps. Leverage IaC with Terraform and Ansible to build scalable, secure cloud environments on AWS (plus Azure/GCP). Implement observability with Grafana and Prometheus, ensuring 99.9% uptime and minimal MTTR. Our Agile/Scrum squads collaborate seamlessly with Data Engineering, Product, and Infra teams, delivering reliable analytics platforms that power global business units. Embrace containerization via Docker and Kubernetes, while upholding data governance and compliance. Nagarro's engineering excellence is proven through countless successful deployments, making us a top destination for DataOps and Software Engineering Jobs.
Your Impact at Nagarro
Step into a role where you'll directly influence enterprise-scale data ecosystems. By automating deployments, tuning performance, and resolving incidents via ServiceNow, you'll ensure seamless operations and business agility. Your contributions will optimize data quality, reduce latency, and enhance observability, driving ROI for clients worldwide. In Nagarro's caring ecosystem, your voice matters—participate in ceremonies, innovate freely, and grow into leadership. Join us to make a lasting Your Impact at Nagarro, advancing your career in one of Europe's most dynamic remote tech hubs. Apply now for this Senior DataOps Engineer position and elevate your Nagarro Careers journey!
Role Description
We are seeking a DataOps Engineer to support our Tech Delivery and Infrastructure Operations teams by ensuring the reliability, automation, and performance of our analytics and data platforms. The role focuses on DataOps, blending DevOps and SRE practices to sustain and optimize data environments across global business units. You will oversee end-to-end data operations, from SQL diagnostics and pipeline reliability to automation, monitoring, and deployment of analytics workloads on cloud platforms, working closely with Data Engineering, Product, and Infrastructure teams to maintain scalable, secure, 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
8+ 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)
Key Responsibilities
- Manage and support data pipelines, ETL processes, and analytics platforms
- Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
- Implement monitoring and observability using Datadog, Grafana, and Prometheus
- Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines
- Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation
- Support incident and request management via ServiceNow
What You Bring (Qualifications)
- 8+ years in DataOps, Data Engineering Operations, or Analytics Platform Support
- Proficiency in SQL and Python/Shell scripting
- Experience with cloud platforms (AWS mandatory)
- Familiarity with CI/CD tools and IaC frameworks
- Working knowledge of monitoring tools
Core Skills
SQL, Python/Shell scripting, Datadog, Grafana, Prometheus, Jenkins, Azure DevOps, Git, Terraform, Ansible, Docker, Kubernetes, AWS, Data governance, CI/CD pipelines
Why Nagarro? (Benefits)
- Caring mindset with emphasis on work-life balance and employee well-being
- Fluidic Enterprise model enabling flexible career paths and innovation
- Global opportunities across diverse projects and international locations
- Remote work flexibility (WFA/Remote in Portugal) for ultimate convenience
- Collaborative culture fostering growth in Agile/Scrum environments
- Professional development through cutting-edge tech exposure and mentorship
Locations
- WFA/Remote, Portugal
Salary
Salary details available upon request
55,000 - 91,800 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Python/Shell scriptingintermediate
- Datadogintermediate
- Grafanaintermediate
- Prometheusintermediate
- Jenkinsintermediate
- Azure DevOpsintermediate
- Gitintermediate
- Terraformintermediate
- Ansibleintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- Data governanceintermediate
- CI/CD pipelinesintermediate
Required Qualifications
- 8+ years in DataOps, Data Engineering Operations, or Analytics Platform Support (experience)
- Proficiency in SQL and Python/Shell scripting (experience)
- Experience with cloud platforms (AWS mandatory) (experience)
- Familiarity with CI/CD tools and IaC frameworks (experience)
- Working knowledge of monitoring tools (experience)
Responsibilities
- Manage and support data pipelines, ETL processes, and analytics platforms
- Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
- Implement monitoring and observability using Datadog, Grafana, and Prometheus
- Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines
- Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation
- Support incident and request management via ServiceNow
Benefits
- general: Caring mindset with emphasis on work-life balance and employee well-being
- general: Fluidic Enterprise model enabling flexible career paths and innovation
- general: Global opportunities across diverse projects and international locations
- general: Remote work flexibility (WFA/Remote in Portugal) for ultimate convenience
- general: Collaborative culture fostering growth in Agile/Scrum environments
- general: Professional development through cutting-edge tech exposure and mentorship
Tags & Categories
Answer 10 quick questions to check your fit for DataOps Engineer - Careers at Nagarro @ Nagarro.
Related Books and Jobs
DataOps Engineer - Careers at Nagarro
Nagarro
DataOps Engineer - Careers at Nagarro
Job Description
DataOps Engineer - Careers at Nagarro
Location: WFA/Remote, Portugal | Job ID: REF51094Z
Why Join Nagarro?
Nagarro stands out in the competitive world of tech careers by blending a Caring Mindset with unparalleled opportunities. Enjoy WFA/Remote flexibility in Portugal, allowing you to thrive without geographical constraints. Our Fluidic Enterprise model empowers you to navigate dynamic projects, fostering innovation and rapid career progression. Benefit from global opportunities, working with diverse teams across continents on high-stakes analytics platforms. We invest in your success through comprehensive training, mentorship, and a culture that celebrates work-life balance. As part of Nagarro Careers, you'll access cutting-edge tools like AWS, Datadog, Terraform, and Kubernetes, ensuring you're always at the forefront of DataOps excellence. Our commitment to employee wellness includes mental health support, flexible hours, and performance-driven rewards, making us the ideal choice for ambitious professionals seeking meaningful Software Engineering Jobs.
Digital Engineering Excellence
At Nagarro, digital engineering is our DNA. As a DataOps Engineer, you'll master end-to-end data operations, from SQL diagnostics and ETL pipelines to CI/CD integrations with Jenkins and Azure DevOps. Leverage IaC with Terraform and Ansible to build scalable, secure cloud environments on AWS (plus Azure/GCP). Implement observability with Grafana and Prometheus, ensuring 99.9% uptime and minimal MTTR. Our Agile/Scrum squads collaborate seamlessly with Data Engineering, Product, and Infra teams, delivering reliable analytics platforms that power global business units. Embrace containerization via Docker and Kubernetes, while upholding data governance and compliance. Nagarro's engineering excellence is proven through countless successful deployments, making us a top destination for DataOps and Software Engineering Jobs.
Your Impact at Nagarro
Step into a role where you'll directly influence enterprise-scale data ecosystems. By automating deployments, tuning performance, and resolving incidents via ServiceNow, you'll ensure seamless operations and business agility. Your contributions will optimize data quality, reduce latency, and enhance observability, driving ROI for clients worldwide. In Nagarro's caring ecosystem, your voice matters—participate in ceremonies, innovate freely, and grow into leadership. Join us to make a lasting Your Impact at Nagarro, advancing your career in one of Europe's most dynamic remote tech hubs. Apply now for this Senior DataOps Engineer position and elevate your Nagarro Careers journey!
Role Description
We are seeking a DataOps Engineer to support our Tech Delivery and Infrastructure Operations teams by ensuring the reliability, automation, and performance of our analytics and data platforms. The role focuses on DataOps, blending DevOps and SRE practices to sustain and optimize data environments across global business units. You will oversee end-to-end data operations, from SQL diagnostics and pipeline reliability to automation, monitoring, and deployment of analytics workloads on cloud platforms, working closely with Data Engineering, Product, and Infrastructure teams to maintain scalable, secure, 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
8+ 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)
Key Responsibilities
- Manage and support data pipelines, ETL processes, and analytics platforms
- Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
- Implement monitoring and observability using Datadog, Grafana, and Prometheus
- Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines
- Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation
- Support incident and request management via ServiceNow
What You Bring (Qualifications)
- 8+ years in DataOps, Data Engineering Operations, or Analytics Platform Support
- Proficiency in SQL and Python/Shell scripting
- Experience with cloud platforms (AWS mandatory)
- Familiarity with CI/CD tools and IaC frameworks
- Working knowledge of monitoring tools
Core Skills
SQL, Python/Shell scripting, Datadog, Grafana, Prometheus, Jenkins, Azure DevOps, Git, Terraform, Ansible, Docker, Kubernetes, AWS, Data governance, CI/CD pipelines
Why Nagarro? (Benefits)
- Caring mindset with emphasis on work-life balance and employee well-being
- Fluidic Enterprise model enabling flexible career paths and innovation
- Global opportunities across diverse projects and international locations
- Remote work flexibility (WFA/Remote in Portugal) for ultimate convenience
- Collaborative culture fostering growth in Agile/Scrum environments
- Professional development through cutting-edge tech exposure and mentorship
Locations
- WFA/Remote, Portugal
Salary
Salary details available upon request
55,000 - 91,800 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Python/Shell scriptingintermediate
- Datadogintermediate
- Grafanaintermediate
- Prometheusintermediate
- Jenkinsintermediate
- Azure DevOpsintermediate
- Gitintermediate
- Terraformintermediate
- Ansibleintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- Data governanceintermediate
- CI/CD pipelinesintermediate
Required Qualifications
- 8+ years in DataOps, Data Engineering Operations, or Analytics Platform Support (experience)
- Proficiency in SQL and Python/Shell scripting (experience)
- Experience with cloud platforms (AWS mandatory) (experience)
- Familiarity with CI/CD tools and IaC frameworks (experience)
- Working knowledge of monitoring tools (experience)
Responsibilities
- Manage and support data pipelines, ETL processes, and analytics platforms
- Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
- Implement monitoring and observability using Datadog, Grafana, and Prometheus
- Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines
- Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation
- Support incident and request management via ServiceNow
Benefits
- general: Caring mindset with emphasis on work-life balance and employee well-being
- general: Fluidic Enterprise model enabling flexible career paths and innovation
- general: Global opportunities across diverse projects and international locations
- general: Remote work flexibility (WFA/Remote in Portugal) for ultimate convenience
- general: Collaborative culture fostering growth in Agile/Scrum environments
- general: Professional development through cutting-edge tech exposure and mentorship
Tags & Categories
Answer 10 quick questions to check your fit for DataOps Engineer - Careers at Nagarro @ Nagarro.
Related Books and Jobs