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 (18000+ experts across 39 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 hands-on experience in Python and SQL programming. Must-have expertise in Databricks, Apache Spark, Apache Kafka, and Terraform. Strong experience building scalable batch and real-time data pipelines on Azure Databricks or similar cloud platforms. Hands-on experience with ETL/ELT development, data ingestion, transformation, and orchestration. Experience working with streaming technologies such as Apache Kafka or Azure Event Hub. Good understanding of Delta Lake, Unity Catalog, and Medallion Architecture (Raw, Trusted, Curated). Experience with Databricks Workflows, Airflow, or similar workflow orchestration tools. Strong knowledge of CI/CD, Git, GitHub Actions, and Infrastructure as Code using Terraform. Experience developing high-quality, scalable, and maintainable Python, SQL, and Spark code. Good understanding of cloud-based data platforms, preferably Azure Databricks (GCP BigQuery or equivalent is acceptable). Experience with metadata-driven data ingestion frameworks and automated pipeline development. Familiarity with dbt and modern data engineering best practices. Working knowledge of Kubernetes is an added advantage. Exposure to Cybersecurity data domains (SIEM, EDR, Cloud Security Logs, OCSF) is desirable. Experience with Cribl or log routing/observability pipelines is a plus. Exposure to Machine Learning, AI, or GenAI solutions on Databricks is preferred. Strong understanding of Agile development methodologies and DevOps practices. Excellent analytical, problem-solving, co