Required Skills and Experience: 10+ years of experience in data engineering with a strong focus on Databricks. Experience with Databricks interface, including the workspace, clusters, and notebook organization. Knowledge of how notebooks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Hands-on experience with Microsoft Power Platform. Experience with JSON, REST APIs, and Data Modeling. Proficiency in CI/CD tools and processes. Strong analytical and problem-solving skills. Design, develop, and maintain scalable data pipelines using Databricks. Implement CI/CD processes to automate and streamline data workflows. Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions.
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