Data Engineer

Há 21 horas

Brazil 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 certificationDatabricks Certified Data Engineer Associate or ProfessionalAdditional Microsoft SQL Server or Azure certifications demonstrating advanced database and cloud expertise

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