AI Data Engineer
New
C
CI&TTechnology Services
Brazil / Campinas, SPFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData modelingGitHub
Requirements
- Advanced SQL proficiency.
- Expertise in Data Modeling, Data Warehousing, and Lakehouse architectures.
- Proficiency in Databricks and Python.
- Understanding of data quality, governance, and documentation best practices.
- Experience with version control systems like GitHub.
- Knowledge of spec-driven development (spec as primary AI input).
- Solid grasp of the full SDLC (design, build, test, deploy, operate).
- Advanced use of AI tools for codegen, testing, refactoring, and debugging.
- Experience building and orchestrating agents (multi-step, tool usage, planning, and execution).
- Experience with MCP (Model Context Protocol) or equivalent integration.
- Ability to create slash-commands and structured prompt-based operational interfaces.
Responsibilities
- Develop transformations and analytical models in Azure Databricks, ADF, Fabric and Power BI.
- Build and maintain Bronze, Silver, and Gold analytical layers 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 codegen, testing, refactoring, and debugging.
- Structure specifications that feed AI for spec-driven development.
- Construct and orchestrate multi-step agents integrated with repositories, pipelines, and APIs.
- Promote best practices in data modeling, governance, and documentation.
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