
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.
🔥 58 minutes 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.
• Develop and maintain scalable, efficient, and reliable data pipelines. • Handle data ingestion, transformation, and delivery for analytical consumption. • Develop data engineering solutions using Databricks. • Implement and maintain data integration and processing workflows. • Work with Azure Data Factory to orchestrate pipelines. • Build and evolve data architectures in cloud environments. • Develop ETL/ELT processes. • Ensure data quality, governance, integrity, and performance. • Work with SQL and data modeling. • Develop solutions using Python and/or Spark (PySpark). • Monitor data integration and processing workflows. • Identify and implement performance and efficiency improvements. • Collaborate with Engineering, Analytics, and business teams to understand requirements. • Translate business needs into data solutions. • Contribute to the evolution of data solutions related to the Tax Reform project. • Support and enhance the solutions developed.
• Professional experience in Data Engineering. • Experience with or solid knowledge of Databricks for data processing and engineering. • Experience with Azure Data Factory for pipeline orchestration. • Knowledge of SQL. • Knowledge of data modeling. • Experience with Python and/or Spark (PySpark). • Experience in cloud environments, preferably Microsoft Azure. • Knowledge of ETL/ELT practices. • Knowledge of data integration. • Ability to develop and maintain data pipelines. • Knowledge of data quality and performance practices. • Preferred: experience with modern data architectures, such as Data Lake and Lakehouse. • Preferred: knowledge of data governance and quality. • Preferred: experience working with large data volumes. • Preferred: Databricks certifications, including Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional, Databricks Certified Data Analyst Associate, Databricks Certified Machine Learning Associate, and Databricks Certified Machine Learning Professional. • Preferred: experience in financial, banking, insurance, or accounting projects. • Preferred: knowledge of Data Management. • Preferred: experience with Data Analysis.
• Flexible benefits card – choose how and where to use it. • Tuition assistance for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews 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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