Senior Data Engineer — Snowflake on GCP & Data Platforms

Nodi; Bogotá; Presencial; COP 190.967.000 - 286.451.000; Jornada completa

Descripción de la vacante

MPS Group in Bogotá, Colombia is seeking a Senior Data Engineer to design, build, and maintain modern data platforms using Snowflake and Google Cloud Platform. The role emphasizes data migration, integration, and data product enablement with a focus on governance and documentation.

The ideal candidate combines strong data engineering expertise with knowledge of data modeling, metadata management, and IaC practices. Familiarity with YAML configurations and DataOps concepts is highly valued.

Formación

• 5+ years in Data Engineering or related roles.
• Strong hands-on Snowflake experience in production.
• Experience building data solutions on GCP services such as BigQuery, Cloud Storage, Dataflow, or Composer.
• Proficiency in SQL and Python.
• Experience with metadata management, data catalogs, and governance concepts.

Responsabilidades

• Design scalable data pipelines on Snowflake and GCP.
• Lead data migration initiatives between enterprise platforms.
• Build data models to support analytics, reporting, and data products.
• Develop metadata-driven solutions with governed data assets.
• Create and maintain YAML configurations and deployment artifacts.
• Collaborate with architects and stakeholders to translate requirements into solutions.
• Produce technical documentation for data products, pipelines, and runbooks.
• Support CI/CD and IaC practices for data platforms.

Conocimientos

Snowflake

Google Cloud Platform

SQL

Python

Data modelling

Metadata management

CI/CD

Terraform

Data governance

Herramientas

Terraform

DataHub

Collibra

Alation

Descripción del empleo

MPS Group in Bogotá, Colombia is seeking a Senior Data Engineer to design, build, and maintain modern data platforms using Snowflake and Google Cloud Platform. The role emphasizes data migration, integration, and data product enablement with a focus on governance and documentation.

The ideal candidate combines strong data engineering expertise with knowledge of data modeling, metadata management, and IaC practices. Familiarity with YAML configurations and DataOps concepts is highly valued.