Azure Databricks Engineer

Must Have Technical/Functional Skills seeking a Data Engineer with strong hands-on experience in Azure Cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be responsible for designing, developing, and Eligible to workimizing scalable data pipelines and cloud-based data solutions, with expertise in ETL/ELT processing, data modeling, performance tuning, and data governance. The role requires proficiency in Python, SQL, GitHub, and CI/CD practices, along with experience working with large-scale datasets in enterprise environments. This is an individual contributor role that demands strong analytical and problem-solving skills, the ability to work Consultantly, and ownership of end-to-end solution delivery while collaborating effectively with cross-functional teams and business stakeholders. Expertise in: Azure Databricks, PySpark, Delta Lake Azure Data Factory (ADF) and ADLS Gen2 Experience working on large-scale, cloud-native data platforms (Azure preferred) Exposure to AI/LLM or agentic frameworks (Databricks AI/ML, Codex, Claude, etc.) Strong experience building REST or GraphQL APIs Experience with Kubernetes (AKS preferred) for API deployment Understanding of API security, contracts, error handling, and performance Strong understanding of data governance, security, and CI/CD practices Primary skill for the API Role with AI Builder