
10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
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.
🔥 11 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
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.
• Organize, collect, and process large volumes of data using ETL tools. • Translate clients' business objectives into an information management and business intelligence strategy. • Responsible for maintaining data pipelines and ensuring secure access to information. • May also include creating and exposing metrics (dashboards) from the collected data, ensuring the quality and integrity of that information.
• Experience in data extraction, transformation, and loading (ETL tools). • AWS Cloud: Glue, EMR, Athena, SNS, Lambda, Step Functions. • Data modeling and NoSQL databases: MongoDB, DynamoDB, and Hadoop. • Programming languages: Python / PySpark. • Execution of unit tests and performance tests. • Preferred: AWS Cloud Practitioner and AWS Data Engineer certifications. • Experience in data quality and observability. • Experience with infrastructure-as-code and monitoring tools (Terraform, CloudWatch).
• Multi-benefits card – you choose how and where to use it. • Study grants for undergraduate, postgraduate, MBA, and language courses. • Programs to incentivize certifications. • Flexible working hours. • Competitive salaries. • Annual performance evaluation with a structured career plan. • Possibility of international career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.
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