Data Engineer

1 semana atrás

Teresina, Brasil Zunzun Solutions Tempo inteiro

SummaryWe 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 ResponsibilitiesData 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 Califications5+ 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 HaveExposure 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 QualificationsMicrosoft 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#J-*****-Ljbffr

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