Remote Data Engineer - AWS Glue & Snowflake

BairesDev

Santander

A distancia

COP 231.107.000 - 396.183.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Excellent compensation in USD
Hardware and software setup for home
Flexible hours
Paid parental leaves
Multicultural global team

Descripción de la vacante

BairesDev is seeking a Data Engineer to move data from operational sources into a cloud warehouse, focusing on automated, cost-efficient, and trustworthy pipelines. This remote role offers strong compensation in USD and flexible hours to fit your schedule.

Key tasks include building ingestion pipelines, designing warehouse structures, automating loading and error handling, and collaborating with analytics teams to model data for reporting. English proficiency required.

Formación

  • 4+ years of data engineering experience.
  • Proven expertise building ETL pipelines with AWS Glue.
  • Hands-on experience designing and optimizing data warehouses in Snowflake.
  • Solid knowledge of SQL, data modeling, and cloud security.
  • Advanced proficiency in English.

Responsabilidades

  • Build ingestion and transformation pipelines that feed the data warehouse.
  • Design warehouse structures that support fast analytical queries.
  • Automate loading, scheduling, and error handling.
  • Manage warehouse performance, storage, and compute costs.
  • Apply access controls and data protection practices.
  • Partner with analytics teams to model data for reporting.

Conocimientos

ETL pipelines
AWS Glue
Snowflake
SQL
Data modeling
Cloud security
English Advanced

Herramientas

AWS Glue
Snowflake

Descripción del empleo

BairesDev is seeking a Data Engineer to move data from operational sources into a cloud warehouse, focusing on automated, cost-efficient, and trustworthy pipelines. This remote role offers strong compensation in USD and flexible hours to fit your schedule.

Key tasks include building ingestion pipelines, designing warehouse structures, automating loading and error handling, and collaborating with analytics teams to model data for reporting. English proficiency required.

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