Senior Data Engineer – Databricks AI/BI, Genie

🕒 September 15

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

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Dadoteca

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Develop and implement analytics solutions using Databricks AI/BI • Configure and enhance a Genie Space to enable natural-language data queries • Collaborate with business teams to define metrics, priority questions, and use cases • Prepare, transform, and model the data used by the solutions • Create and optimize queries using Databricks SQL • Configure instructions, context, descriptions, relationships, and query examples for Genie • Validate the accuracy and consistency of the responses produced by the conversational solution • Develop dashboards and visualizations in the Databricks AI/BI environment • Ensure data quality, security, governance, and access control • Identify and resolve issues related to data, queries, and Genie responses • Optimize the performance of queries and components used by the solution • Document the architecture, data sources, metrics, business rules, configurations, and procedures • Provide knowledge transfer to the teams involved • Work collaboratively with Data, Analytics, Technology, and business teams

🎯 Requirements

• Solid experience working at a senior level with Databricks • Hands-on experience with Databricks SQL, Delta Lake, and Lakehouse architecture • Knowledge of Unity Catalog, governance, and access control • Strong command of SQL for query development and optimization • Experience with Python and/or PySpark for data preparation and transformation • Knowledge of data modeling for analytics solutions • Experience building pipelines and ETL/ELT processes • Ability to analyze problems, identify root causes, and propose solutions • Experience working with business teams to understand metrics and requirements • Strong communication skills, autonomy, and the ability to work on a project with defined deliverables • Databricks certifications related to Data Engineering, Analytics, or AI (a plus) • Experience in consulting projects and direct client engagement (a plus)

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