Senior Staff Engineer - Data Engineer

Nagarro1; Región Centro; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Nagarro1 is seeking a senior Data/Analytics Engineer to design, build and maintain dbt-based data pipelines in production, with a strong emphasis on SQL and complex transformations. You will work with Snowflake, Databricks, BigQuery, and Redshift, write dbt macros in Jinja, implement tests, snapshots, seeds and sources, and help set AI-assisted development standards.

Daily use of Claude Code or GitHub Copilot will be expected to accelerate delivery, ensure data quality, and drive scalable

Formación

• 8+ 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.
• Experience with dbt models and materialization.
• Experience with incremental models.
• Experience building and maintaining macros using Jinja.
• Experience with dbt tests and data quality frameworks.
• Experience with snapshots.
• Experience with seeds and sources.
• Experience with documentation and data lineage.
• Experience using dbt packages.
• Strong experience with at least one cloud data platform: Snowflake, Databricks, BigQuery, Redshift.
• 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.

Conocimientos

Data Engineering

SQL

dbt usage in production

Jinja macros

dbt tests

dbt models

Snapshots

Seeds & sources

Documentation & data lineage

dbt packages

AI-assisted development

AI tooling evaluation

LLM fundamentals

AI in dev workflows

Code generation tools (Claude Code / C

Herramientas

dbt Core

dbt Cloud

Snowflake

Databricks

BigQuery

Redshift

Descripción del empleo

• 8+ 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.
• Experience with dbt models and materialization
• Experience with incremental models
• Experience building and maintaining macros using Jinja
• Experience with dbt tests and data quality frameworks
• Experience with snapshots
• Experience with seeds and sources
• Experience with documentation and data lineage
• Experience using dbt packages
• Strong experience with at least one cloud data platform: Snowflake
• Databricks
• Google BigQuery
• Amazon Redshift
• 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