Azure Databricks Data Engineer

🚀 Hiring: Azure Databricks Data Engineer 🚀 📍 Location: Louisville, TN 📅 Duration: 6 Months 💼 Experience: 8–10 Years We are looking for a skilled Azure Databricks Data Engineer to design, build, and optimize scalable data pipelines. If you have strong experience in Azure data platforms, Databricks, and CI/CD practices, this is a great opportunity to work on impactful data engineering projects. 🔍 Key Responsibilities: Design and develop data pipelines using Azure Data Factory (ADF) / Azure ADB Ingest data from multiple structured and unstructured data sources Perform data transformation using Azure Databricks, Delta Lake, and PySpark Implement and manage CI/CD pipelines using Azure DevOps (Stories, Bugs, Issue tracking) Build and support integration solutions within the Microsoft Azure ecosystem Analyze and troubleshoot data issues to ensure data reliability and accuracy Collaborate with cross-functional teams to gather requirements and design data solutions Perform data cleansing and transformation for high-quality data outputs Optimize and monitor data pipelines for performance and scalability Ensure compliance with data governance, security, and best practices Work closely with data architects to align data models with business needs Document technical designs, processes, and best practices 🛠️ Required Skills: Strong experience with Azure Databricks and data engineering workflows Hands-on experience with PySpark and Delta Lake Experience building data pipelines using Azure Data Factory (ADF) / ADB Solid understanding of Azure DevOps CI/CD processes Experience with REST APIs, data ingestion, and transformation techniques Strong troubleshooting and data analysis skills Experience working in Agile/Scrum environments ⭐ Nice to Have: Experience with enterprise-scale data platforms Exposure to data security and compliance frameworks Strong communication and collaboration skills 📩 Interested candidates please share your resume to [Upgrade to PRO to see contact]