Data Engineer (GCP)
At a glance
Mid-level Data Engineering role at GFT Technologies. Bogotá.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Define needs for connectors when the existing prebuilt library cannot handle a data source
- Work with business analysts, discovery teams and data architects to identify sources needing custom connectors
- Build and test connectors in GFT’s development environment using sample or synthetic data
- Create GCP integrations with Dataflow, Cloud Functions and Cloud Run, including retries and dead-letter handling
- Check connector behavior and performance, document operations, and hand deployments to the lead data engineer
What you bring
- Hands-on background building custom data connectors and ingestion pipelines
- Working knowledge of GCP, its big data and database services, plus Dataflow, Cloud Functions and Cloud Run
- Experience with data integration and ETL, data analysis and modeling, and governance practices
- Ability to elicit and document technical and business needs across multiple data sources and integration patterns
Who this fits
This role suits a mid-level data engineer comfortable building cloud connectors and coordinating with business, data and engineering partners. You’ll contribute to a secure, regulated project environment and transfer completed deployments to the lead data engineer at project milestones.
From the employer
What We Are Looking For
We are seeking a Data Integration Engineer with experience in Google Cloud Platform (GCP), custom data connector development, and data integration solutions. This role will support a large-scale manufacturing modernization initiative for a U.S. Navy submarine production environment, contributing to the development of a secure, AI-enabled workforce readiness platform. The ideal candidate will be responsible for gathering requirements, designing, building, testing, and documenting custom data connectors while collaborating with business, data, and engineering stakeholders.
Responsibilities
• Gather and define requirements for custom data connectors that are not covered by the existing prebuilt connector library
• Collaborate with Business Analysts, Discovery teams, and Data Architects to identify data sources requiring custom connector development
• Design, develop, and test custom connectors within the GFT development environment using sample and synthetic datasets
• Build scalable data integration solutions leveraging Google Cloud Platform services such as Dataflow, Cloud Functions, and Cloud Run
• Implement robust error handling, retry mechanisms, and dead-letter queue processes to ensure recoverability and reliability
• Validate connector performance, functionality, and compliance with technical and business requirements
• Support data ingestion, transformation, and integration activities across multiple manufacturing and operational systems
• Document connector architecture, behavior, configurations, and operational procedures to facilitate knowledge transfer
• Coordinate the transition and handoff of custom connector deployments to the Lead Data Engineer at defined project milestones
• Participate in data governance and data quality initiatives to ensure accurate and reliable information processing
• Contribute to the successful delivery of enterprise data modernization programs within secure and regulated environments
Requirements and Qualifications
• Experience with Google Cloud Platform (GCP)
• Strong knowledge of Big Data solutions within Google Cloud Platform
• Experience with Google Cloud database technologies
• Experience developing custom data integration connectors and ingestion pipelines
• Knowledge of Dataflow, Cloud Functions, and Cloud Run
• Experience in Data Analysis and Data Modeling;
• Experience with Data Management and Data Analysis practices
• Knowledge of Data Governance principles
• Experience with Data Integration and ETL processes
• Ability to gather, analyze, and document business and technical requirements
• Experience working with multiple data sources and integration patterns
• Strong understanding of scalable cloud-based data architectures
• Ability to document technical solutions and support knowledge transfer activities
• Experience working in Agile project environments
Nice to Have
• Experience supporting manufacturing modernization initiatives
• Experience working in regulated or compliance-driven environments
• Knowledge of FedRAMP High, IL4, or similar cloud security frameworks
• Experience with AI-enabled data platforms or analytics solutions
• Familiarity with Looker analytics and reporting solutions
• Experience supporting enterprise-scale cloud migration and data modernization projects
• Knowledge of workforce enablement platforms and operational analytics
• Experience collaborating with distributed global delivery teams
Soft Skills
• Communication
• Stakeholder Management
• Problem Solving
• Analytical Thinking
• Teamwork
• Relationship Building
• Decision Making
• Proactivity
• Adaptability
• Self-Management
• Strategic Thinking
• Attention to Detail
• Collaboration
• Knowledge Sharing
• Organization and Planning
In compliance with our personal data protection policies, we inform you that the information you provide will be processed in accordance with the Privacy Notice available on our website, in the section: Privacy Notice for the processing of personal data – candidate.
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