
51 - 200 employees
Founded 2021
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
<Domo Inovação> is a hub of innovation and technology within Grupo Mercantil (Banco Mercantil), focused on developing connected, future-oriented solutions and digital products for the bank and its customers. It positions itself as an innovation nucleus that creates technology-driven solutions, attracts talent, and leverages the stability of a long-established banking group to deliver practical, customer-facing experiences and internal capabilities.
🔥 10 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2021
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
<Domo Inovação> is a hub of innovation and technology within Grupo Mercantil (Banco Mercantil), focused on developing connected, future-oriented solutions and digital products for the bank and its customers. It positions itself as an innovation nucleus that creates technology-driven solutions, attracts talent, and leverages the stability of a long-established banking group to deliver practical, customer-facing experiences and internal capabilities.
• Design, develop and implement efficient, scalable data pipelines (ETL/ELT) to integrate, transform and load data from multiple sources relevant to the Credit Risk area; • Continuously update the department's Procedures Manual and Policy, including changes to existing tasks and the addition of new activities; • Monitor, maintain and optimize the existing data infrastructure to ensure availability, performance and security, making adjustments and implementing continuous improvements; • Implement and monitor data quality processes by defining validation rules, performing profiling and ensuring the integrity and reliability of data used in the Credit Risk area, in alignment with the organization's data governance policies and Bacen Resolution No. 4,966/21; • Provide technical support to the Credit Risk team for data access and usage, collaborating to identify data needs, resolve issues and implement new data solutions.
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems or related fields; • Strong knowledge of cloud platforms (AWS and GCP); • Strong knowledge of SQL and Python; • Strong knowledge of Big Data tools (Spark and Hadoop); • Previous experience in the financial or banking sector; • Knowledge of MLOps.
• Health insurance and dental plan • Wellhub (Gympass) • Transportation allowance • Meal and food allowance • Domo School (learning platform) and partnerships with educational institutions • Private pension plan • Life insurance • Day off • Extended maternity and paternity leave.
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