Senior Azure Data Engineer — Lead Scalable Data Platform

Jobvite, Inc.

Medellín

Presencial

COP 120.000.000 - 200.000.000

Jornada completa

Hace 12 días
Generador de candidaturas

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Descripción de la vacante

Global Technology Services in Medellín, Colombia, seeks a Senior Azure Data Engineer to build and maintain scalable data pipelines on a modern Azure platform. You will design data ingestion, transformation, and delivery solutions, collaborating across data engineering, API integration, CI/CD, and automation to support enterprise data needs.

The ideal candidate brings 10+ years in data engineering, strong SQL and NoSQL experience, and hands-on work with Azure data services, Snowflake, and DBT.

Formación

  • 10+ years of hands-on data engineering experience, with data warehousing in enterprise environments.
  • 4+ years on Google Cloud Platform: BigQuery and Composer.
  • 2+ years of Snowflake experience.
  • 5+ years of SQL experience with Microsoft SQL/SQL Server.
  • 1+ years of MongoDB or NoSQL document databases.
  • 1+ years of DBT tooling.

Responsabilidades

  • Design, develop, and maintain scalable data ingestion, transformation, integration, and delivery on an Azure-based data platform.
  • Collaborate across data engineering, API integration, CI/CD, and automation to support enterprise data solutions.
  • Work with cross-functional teams to implement robust data pipelines for multiple industries.

Conocimientos

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage Gen2
PySpark
SQL
Azure DevOps
Azure integration services
CI/CD
MongoDB/NoSQL
DBT
BigQuery
Snowflake
Google Cloud Platform
Composer

Herramientas

Snowflake
DBT
MongoDB
BigQuery
Composer

Descripción del empleo

Global Technology Services in Medellín, Colombia, seeks a Senior Azure Data Engineer to build and maintain scalable data pipelines on a modern Azure platform. You will design data ingestion, transformation, and delivery solutions, collaborating across data engineering, API integration, CI/CD, and automation to support enterprise data needs.

The ideal candidate brings 10+ years in data engineering, strong SQL and NoSQL experience, and hands-on work with Azure data services, Snowflake, and DBT.

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