
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.
🔥 12 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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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.
• Participate in a project to migrate IBM DataStage processes to Python and PySpark in an AWS environment • Analyze existing solutions and understand business rules • Develop scalable, efficient, and maintainable data pipelines • Contribute to the modernization of the data platform and to technical and architectural decisions • Use Artificial Intelligence tools to support analysis, development, testing, and documentation, critically validating deliverables • Implement monitoring, failure handling, and reprocessing processes • Perform functional validation and quality assurance of migrated processes • Participate in code reviews and provide technical support to development teams • Share knowledge and provide mentoring and professional development for team members
• Experience with AWS, especially Amazon S3, AWS Glue, Amazon EMR, or equivalent services • Strong knowledge of Python and PySpark for building, maintaining, and optimizing data pipelines • Strong command of SQL, including complex query development, optimization, and tuning • Experience with Data Architecture, data modeling, integration, ETL/ELT, governance, data quality, and information security • Experience migrating and modernizing data processes • Knowledge of code version control with Git and software engineering best practices • Experience with automated testing, technical documentation, and code organization • Experience using Artificial Intelligence applied to software development, including prompt creation, critical analysis of results, and validation of proposed solutions • Ability to implement monitoring, failure handling, and reprocessing processes • Experience with functional validation and quality assurance of migrated processes • Participation in code reviews and provision of technical support to development teams • Preferred: knowledge of IBM DataStage, PL/SQL databases, AWS databases, legacy-to-cloud migration, and large-scale enterprise environments
• Multi-benefit card – choose how and where to use it • Scholarships 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 • Medical insurance • Dental insurance • Life insurance
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