
51 - 200 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.
🕒 September 2
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.
• Provide support for and develop data solutions using Microsoft Fabric • Build, maintain, and optimize data ingestion, processing, and transformation pipelines • Develop and evolve Lakehouse architectures within the Microsoft Fabric ecosystem • Develop ETL/ELT processes, ensuring efficient and reliable data processing • Monitor pipelines, data loads, and data processes, identifying failures and opportunities for improvement • Handle incidents and conduct root-cause analyses to ensure solution stability and availability • Make performance adjustments and optimize pipelines and transformation processes • Ensure data quality, integrity, security, and availability • Support critical environments and ensure compliance with established service levels • Develop new data components and solutions according to project needs • Document architectures, pipelines, processes, support procedures, and developed solutions • Provide technical support to other team members by sharing knowledge and best practices • Collaborate with Data, BI, Analytics, Technology, and business teams
• Solid experience as a Data Engineer, preferably in highly complex enterprise environments • Hands-on experience with Microsoft Fabric – required • Strong knowledge of SQL • Experience with Python and/or PySpark for data processing and transformation • Knowledge of data pipeline development and support • Experience with ETL/ELT processes • Knowledge of data modeling • Experience with Lakehouse architecture • Experience monitoring, troubleshooting, and resolving issues in data pipelines • Ability to work on both support activities and new development initiatives • Microsoft certifications related to Microsoft Fabric, Azure, or Data Engineering (a plus) • Experience supporting critical environments and meeting SLAs (a plus) • Knowledge of data governance, security, and quality (a plus) • Experience with Power BI (a plus) • Advanced knowledge of Lakehouse architectures (a plus) • Experience migrating and modernizing data platforms to Microsoft Fabric (a plus) • Experience monitoring and optimizing performance in data environments (a plus) • Experience working on large-scale projects and in complex enterprise environments (a plus)
• No benefits, perks, or additional compensation are explicitly provided in the posting
Apply Now🕒 September 2
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