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Roles and Responsibilities - Design, develop, and maintain large-scale data pipelines using Databricks Data Lake and Data Factory. - Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time. - Develop complex SQL queries to extract insights from massive datasets stored in Azure Blob Storage or AWS S3 buckets. - Implement machine learning models using Python libraries such as scikit-learn or TensorFlow. - Troubleshoot issues related to data processing, model deployment, and monitoring. Desired Candidate Profile - 6-11 years of experience in Databricks Engineering with expertise in AWS/Azure Cloud platforms. - Robust understanding of SQL concepts including joins, aggregations, window functions, etc. - Proficiency in developing scalable data pipelines using PySpark/Pyspark SQL/Python programming languages. .