
201 - 500 employees
Founded 2010
💼 Consulting
📣 Marketing
🔌 API
Consulting • Marketing • API
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
🕒 June 24
🗣️🇧🇷🇵🇹 Portuguese Required
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201 - 500 employees
Founded 2010
💼 Consulting
📣 Marketing
🔌 API
Consulting • Marketing • API
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
• Develop automated pipelines to ingest 100% of the data from the Risk tool into GCP. • Design and provide governed views in the Analytics layer (BigQuery), ensuring data integrity and quality for downstream consumption. • Implement metrics based on complex SQL logic and business rules. • Develop semantic indicators using LLMs via GCP (Vertex AI) for categorization and analysis of unstructured data. • Work directly with the software engineering team to ensure the solution aligns with the company's architecture and security standards.
• Strong experience with GCP: proficiency in tools such as BigQuery, Cloud Functions, Cloud Composer (Airflow), and Dataplex (for governance). • Data engineering: advanced proficiency in SQL and Python for handling large volumes of data. • Generative AI: hands-on experience implementing LLM solutions on Google Cloud (e.g., Vertex AI, Model Garden, or API integrations). • Experience in corporate environments: ability to translate business requirements from Risk/Controls areas into scalable technical solutions. • Official Google Cloud certifications (Professional Data Engineer or equivalent). • Previous experience with audit/risk tools such as TeamMate. • Knowledge of CI/CD practices applied to data (DataOps).
• Health insurance (Porto Seguro) • Dental plan (Porto Seguro) • Profit-sharing (PLR) • Childcare assistance • Meal and grocery vouchers (Alelo) • Home office allowance • Partnerships with educational institutions • Support for certifications, including cloud certifications • Livelo points • TotalPass benefits • Mindself (wellness program) • Remote work
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