Remote Senior Data Engineer: Cloud Data Warehouse & AI

Fresh Consulting

México

A distancia

MXN 900.000 - 1.500.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to lead the design and implementation of cloud-native data platforms for international clients in the US. This role focuses on building a modern data warehouse from the ground up, enabling AI/LLM integrations and automated workflows.

The position requires 4–7 years of end-to-end data warehouse experience, strong SQL/Python skills, and fluency in English.

Formación

  • 4 to 7 years of verifiable experience building end-to-end cloud data warehouses (real projects from zero to production).
  • Fluent professional English (CEFR C1) and ability to travel to the U.S. quarterly.
  • Experience with cloud data stack (Azure/AWS/GCP) and data governance/security practices.

Responsabilidades

  • Design, build, and operate modern, end-to-end, cloud-native data warehouses.
  • Develop and maintain ELT/ETL pipelines integrating multiple internal systems and third-party feeds.
  • Create scalable data models for reporting, BI, and future AI/ML initiatives.
  • Implement data quality, governance, and security aligned with U.S. financial regulations.
  • Collaborate with U.S. executives to translate business requirements into data architecture.
  • Optimize queries, pipelines, and workflows for efficiency and cost.

Conocimientos

Microsoft Fabric
BigQuery
Snowflake
Databricks
Advanced SQL
Python
SQL optimization

Herramientas

Azure Data Factory
Synapse
Airflow
dbt
Dagster
Power BI

Descripción del empleo

Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to lead the design and implementation of cloud-native data platforms for international clients in the US. This role focuses on building a modern data warehouse from the ground up, enabling AI/LLM integrations and automated workflows.

The position requires 4–7 years of end-to-end data warehouse experience, strong SQL/Python skills, and fluency in English.

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