Staff Engineer, Big Data
nagarro1
Staff Engineer, Big Data
nagarro1· Engineering
About this role
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 (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job Description
REQUIREMENTS:
Total experience: 5.5+ years.
• Strong experience in Data Engineering, Cloud Engineering, or Big Data Engineering.
• Must-have expertise in Google BigQuery, Python, SQL, PySpark, GCP fundamentals, and Kubernetes.
• Strong hands-on experience with BigQuery and SQL, including writing and optimizing complex queries for large-scale data processing.
• Strong programming experience in Python, with hands-on experience in developing scalable applications and APIs.
• Strong experience with PySpark/Spark and familiarity with Big Data technologies such as Hive.
• Hands-on experience with Apache Airflow or similar orchestration services for building and managing data workflows.
• Experience with GCP serverless services, particularly Cloud Functions and Cloud Run.
• Good experience with Docker and Kubernetes for containerization, deployment, orchestration, scaling, and troubleshooting.
• Experience with Python API frameworks such as FastAPI, Flask, or Django; FastAPI is preferred.
• Experience with CI/CD pipelines, preferably using GitLab CI/CD and Octopus Deploy, along with Git-based version control.
• Good understanding of Terraform and Infrastructure as Code (IaC) for provisioning and managing cloud resources.
• Good understanding of GCP networking, VPC, load balancing, IAM, API security, monitoring, logging, and alerting.
• Strong troubleshooting, analytical, problem-solving, communication, and collaboration skills.
RESPONSIBILITIES:
• Design, implement, and maintain scalable and reliable Big Data and cloud solutions using GCP, BigQuery, PySpark, Python, and Airflow.
• Develop and maintain data workflows and pipelines using Apache Airflow and other orchestration services.
• Design, develop, and optimize BigQuery and SQL queries for high-volume data processing and analytics workloads.
• Develop and deploy cloud-native and serverless applications using GCP Cloud Functions and Cloud Run.
• Develop scalable APIs using Python frameworks such as FastAPI, Flask, or Django.
• Containerize applications using Docker and deploy, manage, and troubleshoot workloads on Kubernetes.
• Implement and maintain CI/CD pipelines for automated build, testing, and deployment using GitLab CI/CD, Octopus Deploy, or similar tools.
• Implement Infrastructure as Code (IaC) using Terraform to provision and manage GCP cloud resources.
• Configure and manage IAM policies, VPC networking, load balancing, API access controls, and security mechanisms.
• Implement monitoring, logging, alerting, and observability solutions to proactively identify and resolve system issues.
• Write comprehensive unit tests and implement quality practices to ensure application reliability and maintainability.
• Troubleshoot production issues, perform root cause analysis, and implement preventive measures to improve system stability.
• Collaborate with Data Engineering, Cloud, DevOps, Infrastructure, Security, and Application teams to deliver scalable and reliable solutions.
• Continuously improve data pipelines, cloud architecture, automation, application performance, security, and operational efficiency through industry best practices.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field
Additional Information
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Frequently Asked Questions
Is the salary disclosed for the Staff Engineer, Big Data position at nagarro1?
The salary for this Staff Engineer, Big Data role at nagarro1 is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff Engineer, Big Data position at nagarro1 located?
This Staff Engineer, Big Data role at nagarro1 is based in Gurugram, Gurugram, , India, in. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Staff Engineer, Big Data role at nagarro1 full-time or part-time?
This is listed as a Full time position. It is posted as a Staff Engineer, Big Data role in the Engineering department at nagarro1.
Which team or department does the Staff Engineer, Big Data at nagarro1 belong to?
This Staff Engineer, Big Data position is part of the Engineering department at nagarro1. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Engineer, Big Data position at nagarro1?
Click the "Apply Now" button on this page. You will be redirected to nagarro1's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Staff Engineer, Big Data job at nagarro1 posted?
This Staff Engineer, Big Data position at nagarro1 was posted on Aug 14, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff Engineer, Big Data
nagarro1
You'll be redirected to nagarro1's official application page on SmartRecruiters.