Jobs → Data & Analytics → Azure Databricks Data Engineer

About the Role We are seeking a Data Engineer with strong hands-on experience in Azure Cloud and Azure Databricks to join our team. This role focuses on designing, developing, and optimizing scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, develop, and optimize scalable data pipelines and cloud-based data solutions • Implement ETL/ELT processing, data modeling, and performance tuning • Ensure data governance and security practices are followed • Build REST or GraphQL APIs and deploy them using Kubernetes • Work with large-scale datasets in enterprise environments • Collaborate with cross-functional teams and business stakeholders Requirements • 6-12 years of experience in Azure Cloud and Azure Databricks • Proficiency in PySpark, Azure Data Factory, Delta Lake, and Unity Catalog • Strong experience in ETL/ELT processing, data modeling, and performance tuning • Expertise in Python, SQL, GitHub, and CI/CD practices • Experience with large-scale datasets in enterprise environments • Understanding of AI/LLM or agentic frameworks • Strong experience building REST or GraphQL APIs • Experience with Kubernetes for API deployment • Understanding of API security, contracts, error handling, and performance • Strong understanding of data governance, security, and CI/CD practices