Remote Data Engineer — GCP Pipelines & BigQuery

Keyrus Colombia; Colômbia; Teletrabalho; COP 60 000 000 - 110 000 000; Tempo integral

Resumo da oferta

Keyrus Colombia is seeking a hands-on Data Engineer to design, develop, and maintain cloud-based data ingestion pipelines on Google Cloud for enterprise data operations. You will work with BigQuery, Pub/Sub, Dataform, Cloud Storage, and Cloud Composer to deliver reliable data solutions that meet business requirements and architectural standards.

You will troubleshoot production issues, optimize workflows, and contribute to continuous improvement of cloud data environments while collaborating

Qualificações

• 3+ years of professional experience in data engineering or related roles.
• Experience designing, developing, and maintaining cloud-based data ingestion pipelines.
• Experience with Google Cloud Platform environments and data processing workflows.

Responsabilidades

• Design, develop, and maintain scalable data ingestion pipelines using Google Cloud Platform.
• Implement and optimize data processing workflows with BigQuery, Dataform, Pub/Sub, Cloud Storage, and Cloud Composer.
• Develop SQL queries to transform, validate, and troubleshoot data across enterprise systems.
• Collaborate with engineers, architects, and stakeholders to translate requirements into solutions.
• Participate in design reviews, project planning, and documentation to ensure quality and security.

Conhecimentos

Google Pub/Sub

BigQuery

Google Dataform

Data ingestion pipelines

Cloud Storage

Cloud Composer

SQL

GitHub

Formação académica

Bachelor's degree in Computer Science/IT/Engineering

Ferramentas

Jira

Confluence

Data Fusion (Nice to have)

Descrição da oferta de emprego

Keyrus Colombia is seeking a hands-on Data Engineer to design, develop, and maintain cloud-based data ingestion pipelines on Google Cloud for enterprise data operations. You will work with BigQuery, Pub/Sub, Dataform, Cloud Storage, and Cloud Composer to deliver reliable data solutions that meet business requirements and architectural standards.

You will troubleshoot production issues, optimize workflows, and contribute to continuous improvement of cloud data environments while collaborating