Data Engineer
4 semanas atrás
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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Data Engineer
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Brasília, Brasil GraceMark Solutions Tempo inteiroHello!We currently have a great job opportunity for you!About the role: Role: Data Engineer Location: São Paulo, Brazil Duration: 6 months Salary: $ 2200 USD monthly (FTE)We're looking for a Data Engineer with backend experience to join a high-impact engineering team building large-scale user-facing products. What You'll Do Build and enhance backend...
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Brasília, Brasil Zunzun Solutions Tempo inteiroSummary: 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...
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