Senior Data Engineer: Snowflake & GCP Data Platform Lead

MPS Group LLC; Bogotá; Presencial; COP 180.000.000 - 240.000.000; Jornada completa

Descripción de la vacante

MPS Group LLC is seeking a Senior Data Engineer to design, build, and maintain modern data platforms on Snowflake and Google Cloud Platform. The role emphasizes data migration, data integration, and data product enablement to create scalable, governed data ecosystems.

The ideal candidate combines deep data engineering expertise with strong data modelling, metadata management, and documentation skills. IaC (Terraform) and metadata-driven architectures are highly valued.

Formación

• 5+ years in Data Engineering or related roles.

Responsabilidades

• Design scalable data pipelines using Snowflake and GCP.
• Lead data migrations between enterprise platforms including Snowflake.
• Build and optimize data models for analytics, reporting, and data product consumption.
• Develop metadata-driven solutions for governance and reuse.
• Create YAML configurations, metadata definitions, and deployment artifacts.
• Collaborate with architects, analysts, and stakeholders to translate requirements into scalable data solutions.
• Produce technical documentation for data products, pipelines, and runbooks.
• Support CI/CD and IaC practices.

Conocimientos

Data engineering

Data modeling

Metadata management

Documentation

Herramientas

Snowflake

Google Cloud Platform

Terraform

YAML configurations

Python

SQL

Data governance tools (DataHub/Collibra/Alation)

CI/CD pipelines

Descripción del empleo

MPS Group LLC is seeking a Senior Data Engineer to design, build, and maintain modern data platforms on Snowflake and Google Cloud Platform. The role emphasizes data migration, data integration, and data product enablement to create scalable, governed data ecosystems.

The ideal candidate combines deep data engineering expertise with strong data modelling, metadata management, and documentation skills. IaC (Terraform) and metadata-driven architectures are highly valued.