Senior Data Engineer (Python) - Remote ETL/Analytics

BairesDev

Colombia

A distancia

COP 374.895.000 - 562.342.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Competitive compensation in USD or 0
Home office hardware & software setup
Flexible hours
Paid parental leaves, vacations, and U
Multicultural global team
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is a global remote-first tech company delivering cutting-edge data solutions. We seek a Senior Data Engineer to build scalable, production-grade data pipelines using Python and to bridge raw data with analytics across our cloud infrastructure.

You will work with a diverse team on ELT/ETL pipelines, data modeling with SQL and dbt, and ensure data quality. Excellent English and experience with modern data tools are essential.

Formación

  • 4+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise building scalable data pipelines with Python.
  • Advanced SQL for data transformation and analysis.
  • Hands-on experience with dbt and AWS.
  • CI/CD and Git proficiency.
  • Advanced English.

Responsabilidades

  • Design and implement robust ELT/ETL pipelines to automate data ingestion and transformation.
  • Develop data models and transformation layers using SQL and dbt to support advanced analytics.
  • Optimize pipeline performance and scalability to handle large-scale datasets within AWS environments.
  • Integrate modern data tools and CI/CD practices to streamline development and deployment workflows.
  • Ensure data integrity and reliability through automated testing, validation, and proactive monitoring.
  • Collaborate with stakeholders to translate business requirements into efficient technical data architectures.

Conocimientos

Python
SQL
DBT
AWS
CI/CD
Git
English

Herramientas

dbt
AWS

Descripción del empleo

BairesDev is a global remote-first tech company delivering cutting-edge data solutions. We seek a Senior Data Engineer to build scalable, production-grade data pipelines using Python and to bridge raw data with analytics across our cloud infrastructure.

You will work with a diverse team on ELT/ETL pipelines, data modeling with SQL and dbt, and ensure data quality. Excellent English and experience with modern data tools are essential.

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