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Summary: We are seeking a highly skilled Data Engineer (Azure Databricks) to design, implement, and optimize enterprise-grade data pipelines. In this role, you will leverage Azure Databricks, Azure Data Factory, SQL Server, and Python to enable scalable, governed, and performant data solutions. You will play a key role in modernizing our data platform on the Azure Cloud, ensuring reliability, efficiency, and compliance across the full data lifecycle. Key Responsibilities: · Data Pipeline Development: Design, build, and optimize ETL/ELT pipelines using Azure Databricks (PySpark, Delta Lake) and Azure Data Factory (ADF). · Data Flows & Transformations: Develop pipelines, data flows, and complex transformations with ADF, PySpark, and T-SQL for seamless data extraction, transformation, and loading. · Data Processing: Develop Databricks Python notebooks for tasks such as joining, filtering, and pre-aggregation. · Database & Query Optimization: Optimize database performance through SQL query tuning, index optimization, and code improvements to ensure efficient data retrieval and manipulation. · SSIS & Migration Support: Maintain and enhance SSIS package design and deployment for legacy workloads; contribute to migrationand modernization into cloud-native pipelines. · Collaboration & DevOps: Work with cross-functional teams using Git (Azure Repos) for version control and Azure DevOps pipelines (CI/CD) for deployment. · Data Governance & Security: Partner with governance teams to integrate Microsoft Purview and Unity Catalog for cataloging, lineage tracking, and role-based security. · API & External Integration: Implement REST APIs to retrieve analytics data from diverse external data feeds, enhancing accessibility and interoperability. · Automation: Automate ETL processes and database maintenance tasks using SQL Agent Jobs, ensuring data integrity and operational reliability. · Advanced SQL Expertise: Craft and optimize complex T-SQL queries to support efficient data processing and analytical workloads. Required Califications: · 5+ years of hands-on expertise with Azure Databricks, Python, PySpark, and Delta Lake. · 5+ years of proven experience with Azure Data Factory for orchestrating and monitoring pipelines. · Strong SQL Server / T-SQL experience with a focus on query optimization, indexing strategies, and coding best practices. · Demonstrated experience in SSIS package design, deployment, and performance tuning. · Hands-on knowledge of Unity Catalog for governance. · Experience with Git (Azure DevOps Repos) and CI/CD practices in data engineering projects. Nice to Have: · Exposure to Change Data Capture (CDC), Change Data Feed (CDF), and Temporal Tables. · Experience with Microsoft Purview, Power BI, and Azure-native integrations. · Familiarity with Profisee Master Data Management (MDM). · Working in Agile/Scrum environments. Preferred Qualifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert or equivalent advanced Azure certification Databricks Certified Data Engineer Associate or Professional Additional Microsoft SQL Server or Azure certifications demonstrating advanced database and cloud expertise
