
201 - 500 employees
Founded 2010
🔌 API
🤖 Artificial Intelligence
API • Artificial Intelligence • Cloud Solutions
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.
🕒 May 26
🗣️🇧🇷🇵🇹 Portuguese Required
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201 - 500 employees
Founded 2010
🔌 API
🤖 Artificial Intelligence
API • Artificial Intelligence • Cloud Solutions
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.
• You will be part of our Data Science team, responsible for developing, maintaining and evolving analytical solutions and machine learning models that support multiple business areas. • We operate in a collaborative environment with a strong engineering culture, a focus on data quality, and continuous improvement. • In this project, you will play a strategic role in migrating integrations, pipelines and data consumers currently running on AWS to the GCP ecosystem, ensuring operational continuity, reliability and adherence to data engineering and machine learning best practices. • Perform the migration of connections, pipelines and data consumption processes from AWS to GCP for the company's Data Science projects. • Adapt queries, integrations and data processing routines to run in the GCP environment, taking into account differences between services and SQL dialects. • Execute functional tests, consistency validations and data sign-off after migration processes. • Support the migration of analytical workloads and machine learning pipelines to equivalent services within the GCP ecosystem. • Work closely with data engineering, architecture and MLOps teams to ensure stability and efficiency of migrated solutions. • Identify and resolve issues related to performance, compatibility and governance during the cloud transition. • Document technical processes, data flows and architectural decisions related to the migration. • Contribute to standardization, automation and quality improvements in pipelines and analytical processes.
• Strong experience as a Data Scientist or Machine Learning Engineer in production environments. • Hands-on experience with cloud environments, especially AWS and GCP. • Advanced SQL skills for adapting and optimizing queries. • Experience with data manipulation and processing using Python. • Experience with data pipelines and integrations across different cloud services. • Experience with testing and validating data consistency during migration processes. • Knowledge of analytics and data services in AWS and GCP. • Ability to work autonomously on complex technical problems. • Good communication skills and ability to interact with multidisciplinary teams.
• Health insurance (Porto Seguro) • Dental insurance (Porto Seguro) • Profit Sharing (PLR) • Childcare assistance • Alelo meal and food vouchers • Home office allowance • Partnerships with educational institutions • Support for certifications, including cloud • Livelo points • Total Pass • Mindself
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