Remote Data Engineer: Build Trusted ETL Pipelines

BairesDev

Sucre

A distancia

COP 279.677.000 - 466.128.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Competitive USD compensation
Home office setup provided
Flexible hours
Paid parental leave

Descripción de la vacante

BairesDev is seeking a Data Engineer to build and maintain ETL/ELT pipelines powering data across the organization. You will work with data governance and observability practices to ensure data quality and trust.

You will collaborate with AWS Glue/Redshift, Collibra, and Python, implement data cataloging, and monitor data flows. This is a fully remote role with competitive USD compensation and global teams. Join our global Top 1% talent and help drive data-driven decisions.

Formación

  • 5+ years of experience in data engineering.
  • Strong ETL/ELT development experience.
  • Proficiency with AWS Glue and Redshift.
  • Experience with data cataloging using Collibra or similar.
  • Proficiency in Python.
  • Observability and data pipeline monitoring experience.
  • Advanced English.

Responsabilidades

  • Build and maintain ETL/ELT pipelines across cloud data infrastructure.
  • Implement data cataloging practices to ensure data assets are discoverable and well-governed.
  • Set up observability and monitoring across data pipelines.
  • Conduct data QA to ensure accuracy and reliability of data assets.

Conocimientos

ETL/ELT development
Python
Observability
Data QA
Advanced English

Herramientas

AWS Glue
AWS Redshift
Collibra

Descripción del empleo

BairesDev is seeking a Data Engineer to build and maintain ETL/ELT pipelines powering data across the organization. You will work with data governance and observability practices to ensure data quality and trust.

You will collaborate with AWS Glue/Redshift, Collibra, and Python, implement data cataloging, and monitor data flows. This is a fully remote role with competitive USD compensation and global teams. Join our global Top 1% talent and help drive data-driven decisions.

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