
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.
🕒 July 10
🗣️🇧🇷🇵🇹 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.
• Maintain and enhance data pipelines and solutions • Modernize processes and workflows currently supported by legacy technologies • Develop and optimize data processing and transformation routines • Design data structures using dimensional modeling • Identify opportunities to improve data performance, quality, and governance • Collaborate with cross-functional teams to define and implement technical solutions • Ensure stability, reliability, and efficiency of data environments
• Proven experience as a Senior Data Engineer • Strong proficiency with Databricks • Advanced experience with Python • Knowledge of dimensional modeling • Strong experience with databases, particularly MongoDB • Strong analytical skills, autonomy, and a problem-solving mindset
• Remote • Full-time • Outsourcing
Apply Now🕒 July 10
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DynamoDB
ETL
Hadoop
MongoDB
NoSQL
PySpark
Python
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DynamoDB
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MongoDB
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AWS
DynamoDB
ETL
Hadoop
MongoDB
NoSQL
PySpark
Python
Terraform