AI Data Engineer / Snowflake Cortex Engineer
New
J
JobgetherData Engineering
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLArtificial IntelligenceSnowflakeData engineeringData modeling
Requirements
- Strong hands-on experience with Snowflake data platforms.
- Experience or strong knowledge of Snowflake Cortex and Snowflake AI capabilities.
- Advanced SQL and solid data engineering skills.
- Experience preparing AI-ready datasets and semantic-ready data products.
- Understanding of data modeling, metrics frameworks, and business-oriented data layers.
- Experience with Python is desirable.
- Familiarity with AI-assisted analytics, metric intelligence, or agentic AI use cases is a plus.
- Awareness of data governance, access management, and responsible AI practices.
- Ability to collaborate effectively with platform teams, analytics engineers, and data stakeholders.
- Strong analytical mindset with the ability to translate business needs into scalable data solutions.
Responsibilities
- Enable AI capabilities on enterprise data platforms using Snowflake Cortex and related AI technologies.
- Build and maintain AI-ready datasets and semantic-ready data products that support advanced analytics use cases.
- Develop solutions for use cases such as metric intelligence, anomaly detection, and AI-assisted analysis.
- Define reusable implementation patterns and best practices for Snowflake Cortex-based solutions.
- Collaborate with Analytics Engineering teams to expose trusted metrics and governed datasets for AI applications.
- Support the development of future AI and agentic capabilities, including monitoring agents, recommended actions, and personalized insights.
- Document implementation approaches, technical assumptions, platform considerations, and solution guidelines.
- Ensure AI enablement initiatives follow data quality standards, access controls, governance practices, and responsible AI principles.
- Work closely with platform, analytics engineering, and business stakeholders to align technical solutions with organizational goals.
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