5 дней назад
Staff Engineer - Data Analyst (dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer - Data Analyst (dbt): Building and maintaining production data transformation and analytics engineering workflows with an accent on dbt models, complex SQL, data quality, and cloud data platforms. Focus on designing incremental models, macros, tests, lineage, and AI-assisted development workflows using tools such as Claude Code and GitHub Copilot.
Location: Guadalajara, Mexico
Company
is a digital product engineering company delivering products, services, and digital experiences at scale across multiple devices and mediums.
What you will do
- Develop and maintain production-grade data models and complex SQL transformations.
- Build dbt models using incremental models, materializations, snapshots, seeds, sources, packages, macros, and Jinja.
- Implement data tests, quality frameworks, documentation, and lineage.
- Work with cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Use AI-assisted development tools for implementation, refactoring, testing, code review, and developer workflow automation.
- Establish practical standards for prompting, code verification, security, intellectual property protection, and AI-authored changes.
Requirements
- 6+ years of experience in data engineering, analytics engineering, or a related field.
- 3+ years of hands-on production experience with dbt.
- Strong SQL skills and experience developing complex data transformations.
- Strong knowledge of dbt Core and/or dbt Cloud, including models, materializations, tests, snapshots, sources, seeds, packages, documentation, and lineage.
- Strong experience with at least one cloud data platform: Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Required AI skills include daily fluent use of Claude Code and/or GitHub Copilot, understanding of LLM fundamentals, and experience with AI-enabled developer workflows and agentic tooling.
Culture & Benefits
- Full-time employment in the UCC service region.
- Dynamic, non-hierarchical work culture.
- Work within a global organization of more than 15,000 experts across 26 countries.
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