Staff Engineer, Big Data
Nagarro
Staff Engineer, Big Data at Nagarro is a full time role based in Gurugram, Gurugram, , India. It was published on 14 August 2026 and was open at last check.
| Role | Staff Engineer, Big Data |
|---|---|
| Company | Nagarro |
| Location | Gurugram, Gurugram, , India |
| Employment type | Full Time |
| Published | 14 August 2026 |
| Status | Open at last check |
👋🏼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!
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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field
Create your free OnJob profile to apply — we'll take you to Nagarro's application after sign-up. · Posted 14 Aug 2026.
Staff Engineer, Big Data at Nagarro — questions answered
What does the Staff Engineer, Big Data role at Nagarro pay?
Nagarro does not publish a salary on this Staff Engineer, Big Data listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Staff Engineer, Big Data role at Nagarro based?
Nagarro lists this Staff Engineer, Big Data role in Gurugram, Gurugram, , India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Nagarro before you apply.
Is the Staff Engineer, Big Data role at Nagarro still open?
The Staff Engineer, Big Data posting at Nagarro was open at OnJob's last check of the employer's careers page, having been published on 14 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Staff Engineer, Big Data role at Nagarro?
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