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Nagarro

Associate Staff Engineer - Data Engineer

Nagarro Guadalajara, Sonora, Mexico

IT Services and IT Consulting · 10,001+ employees

8 h ago
data-engineer Mid (2-5 yrs) Full-time Mexico
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About the role

Develop and maintain complex data transformations using dbt and SQL within production environments. Integrate AI-assisted development tools into workflows to improve productivity and establish team standards for AI-authored code.

What they look for

Data Engineering Analytics Engineering Dbt SQL Data Transformation Snowflake Databricks BigQuery Redshift Claude Code GitHub Copilot AI-assisted development LLM fundamentals Prompt engineering Data lineage

Requirements

Requires 4+ years of experience in data engineering and 3+ years of hands-on experience with dbt. Candidates must possess strong SQL expertise and a working understanding of LLM fundamentals and AI integration.

Full description

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

  • 4+ years of experience in Data Engineering, Analytics Engineering, or related fields.
  • 3+ years of hands-on experience with dbt in production environments.
  • Strong expertise in SQL and complex data transformation development.
  • Strong understanding of dbt Core and/or dbt Cloud.
  • dbt models and materializations 
  • Incremental models
  • Macros and Jinja
  • dbt testing and data quality
  • Snapshots, seeds, and sources 
  • Documentation and data lineage
  • dbt packages
  • Cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift)

AI skills (required for all roles)

  • Daily, fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review
  • Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes
  • Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering
  • Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
  • Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype
  • Service Region: UCC

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