Mid-level Data Engineer
Domo Inovação
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
About the role
- Actively support the definition of requirements for IT/Data infrastructure, contributing technical analysis of proposed solutions and alternatives and assessing impacts on performance, cost, scalability, and adherence to the existing architecture;
- Work with moderate critical judgment, suggesting improvements and identifying technical risks, aligned with guidelines established by the senior team and corporate architecture;
- Participate in the design and implementation of medium-complexity data architectures, following standards and guidelines defined by corporate 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-oriented focus;
- Collaborate actively 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 systems integration, implementing medium-complexity solutions and ensuring compliance with defined architectural standards;
- Support the technical design of solutions, participate in the evolution of the existing architecture, and work on maintenance and continuous improvement of the systems under their 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;
- Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts;
- Proficiency in SQL and experience with relational databases;
- Basic knowledge of NoSQL;
- Familiarity with DataOps, versioning, and pipeline monitoring;
- Practical application of agile methodologies (Scrum, Kanban);
- Postgraduate degrees and certifications in IT;
- Experience in regulated environments (e.g., the financial sector);
- Experience with orchestration tools (e.g., Airflow);
- Knowledge of integration with ML models or consumption of AI APIs;
- Experience working in mid-sized environments and processing significant volumes of data.
Benefits
- Health insurance and dental plan
- Wellhub (Gympass)
- Transportation allowance
- Meal and food allowances
- Domo School (learning platform) and partnerships with educational institutions
- Private pension plan
- Life insurance
- Day off
- Extended maternity and paternity leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonETLdata manipulationAPIsPandasNumPyPySparkSQLNoSQLdata pipelines
Soft Skills
critical judgmentcollaborationcommunicationresults-oriented focustechnical analysisproblem-solvingmaturityanticipation of needsdecision-makingrisk identification
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Systems Analysis and DevelopmentPostgraduate degrees in IT