Data Engineer

Há 8 horas

são paulo, Brasil Zunzun Solutions Tempo inteiro

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 migration and 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

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