Data Engineer (GCP)

GFT Technologies; Norte; Presencial; COP 100.440.000 - 167.400.000; Jornada completa

Descripción de la vacante

GFT Technologies is seeking a Data Integration Engineer to design, build, and test custom data connectors on Google Cloud Platform for a large-scale modernization initiative. You will collaborate with business, data, and engineering stakeholders to gather requirements and ensure secure, scalable data pipelines.

The role focuses on leveraging Dataflow, Cloud Functions, and Cloud Run to ingest, transform, and govern data across multiple manufacturing systems, while documenting architectures and

Formación

• 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

Responsabilidades

• Gather and define requirements for custom data connectors
• Collaborate with Analysts, Discovery teams, and Data Architects
• Design, develop, and test custom connectors
• Build scalable data integration solutions on GCP (Dataflow, Cloud Functions, Cloud Run)
• Implement error handling and retry mechanisms
• Validate connector performance and compliance with requirements
• Support data ingestion, transformation across systems
• Document connector architecture and procedures
• Coordinate deployment handoffs to Lead Data Engineer
• Participate in data governance and data quality initiatives
• Contribute to enterprise data modernization programs

Conocimientos

GCP

Big Data on GCP

Custom data connectors

ETL processes

Data analysis

Data modeling

Data governance

Agile

Data ingestion pipelines

Herramientas

Dataflow

Cloud Functions

Cloud Run

Descripción del empleo

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

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