AI Data Engineer
New
Brazil / Campinas, SPFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft Power BIData modelingDatabricksGitHub
Requirements
- Advanced SQL proficiency.
- Solid experience in data modeling, Data Warehousing, and Lakehouse architectures.
- Proficiency in Databricks and Python.
- Knowledge of data quality, governance, and documentation best practices.
- Experience with version control systems like GitHub.
- Proficiency in spec-driven development using AI as the primary input.
- Solid understanding of the end-to-end SDLC.
- Advanced ability to use AI for codegen, testing, refactoring, and debugging.
- Capability to build and compose multi-step AI agents and reusable skills.
- Experience with Model Context Protocol (MCP) or equivalent integrations.
- Ability to create structured prompt-based operational interfaces and slash-commands.
- Experience in orchestrating human-agent or multi-agent workflows.
- Ability to integrate with tools like CI/CD, issue tracking, and observability systems.
- Skill in evaluating AI outputs for quality, security, and consistency.
Responsibilities
- Develop transformations and analytical models using Azure Databricks, ADF, Fabric, and Power BI.
- Build and maintain analytical layers (Bronze, Silver, Gold) and business-oriented semantic models.
- Translate business rules into scalable data models while documenting and standardizing corporate metrics.
- Ensure data quality, testing, and observability.
- Support the construction of datasets for Analytics and Agents.
- Operate the SDLC with AI for coding, testing, refactoring, and debugging.
- Structure specifications for spec-driven development and maintain quality control over outputs.
- Build and orchestrate multi-step, tool-using, and planning-capable agents integrated with repositories, pipelines, and APIs.
- Promote best practices in modeling, governance, and documentation.
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