Banco De Dados jobs in Brazil

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.

• 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.

• 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.

• 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.

• 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