Mid-level Data Engineer

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Domo Inovação

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🏦 Banking

🏢 Enterprise

Banking • Enterprise

<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.

📋 Description

• Actively support the definition of requirements for the IT/Data infrastructure area, contributing technical analysis of proposed solutions and alternatives, evaluating impacts on performance, cost, scalability, and adherence to the existing architecture; • Work with a moderate critical perspective, suggesting improvements and identifying technical risks, aligned with guidelines set by the senior team and enterprise architecture; • Participate in the design and implementation of medium-complexity data architectures, following standards and guidelines defined by enterprise architecture; • Collaborate with technical and non-technical teams, translating complex concepts into accessible language to facilitate alignment and decision-making; • Actively contribute to project success by anticipating needs, supporting other areas, and participating in the resolution of technical disagreements with maturity and a results focus; • Actively collaborate in defining and extracting data from different sources for ingestion into Big Data platforms, ensuring adherence to established standards; • Support the modeling and organization of data structures so they are appropriate, accessible, and available for consumption, ensuring alignment between operational data and the required analytical models; • Actively contribute to projects related to data and system integration, implementing medium-complexity solutions and ensuring adherence to defined architectural standards; • Support the technical design of solutions, participate in the evolution of the existing architecture, and work on the maintenance and continuous improvement of the systems under your responsibility.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Systems Analysis and Development, or related fields; • Hands-on experience developing and maintaining data pipelines; • Strong knowledge of Python for ETL, data manipulation, and APIs (Pandas, NumPy, PySpark); • Practical experience with Spark and/or Kafka; • Knowledge of batch and streaming processing; • Knowledge of Data Lake, Lakehouse, and Data Warehouse architectures; • Proficiency in SQL and experience with relational databases; • Familiarity with NoSQL; • Familiarity with DataOps, versioning, and pipeline monitoring; • Practical application of agile methodologies (Scrum, Kanban).

🏖️ Benefits

• Health and dental insurance • Wellhub (Gympass) • Transportation voucher • Food and meal allowances • Domo School (learning platform) and partnerships with educational institutions • Private pension plan • Life insurance • Day off • Extended maternity and paternity leave.