Data Engineer, Mid-Level/Senior

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Gather and define requirements for custom data connectors. • Collaborate with Business Analysts and Data Architects to identify data sources requiring specialized development. • Develop custom connectors using native Google Cloud Platform services. • Implement data integration processes focused on reliability, scalability, and observability. • Configure failure-handling mechanisms, reprocessing logic, and error-recovery queues. • Test connectors using sample and synthetic data. • Document the behavior, configurations, and dependencies of developed connectors. • Ensure the quality of integrations and their compliance with data architecture and governance guidelines. • Support knowledge transfer and the handover of solutions to the teams responsible for maintaining and enhancing the environment. • Contribute to data integration, modeling, and management initiatives across the organization’s analytics ecosystem.

🎯 Requirements

• Experience with Google Cloud Platform (GCP). • Knowledge of Big Data within the Google Cloud ecosystem. • Experience with relational and non-relational databases. • Experience with data integration, ETL, and processing pipelines. • Experience with Dataflow, Cloud Functions, and Cloud Run. • Knowledge of data analysis and modeling. • Knowledge of data governance. • Experience in data management and quality. • Ability to document technical solutions and integration processes. • Experience developing and testing custom data connectors. • Preferred: experience in digital transformation projects in the industrial or manufacturing sector. • Preferred: experience with analytics platforms using Looker. • Preferred: knowledge of data-oriented architectures and AI-enabled platforms. • Preferred: experience in environments with stringent security and compliance requirements. • Preferred: knowledge of observability, monitoring, and data pipeline resilience practices. • Preferred: experience migrating connectors and integrating multiple data sources.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Education grants for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.