Staff Engineer, Big Data

👋🏼 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 GC