Description: Apply quickly via email: Requirements and Qualifications: Mandatory: Technical: * Bachelor's degree in Computer Science, Data Engineering, or related fields. * Minimum of 2 years’ experience as a technical leader in the data domain. * Minimum of 4 years’ experience in BI or Data Science, including development and maintenance of reports, dashboards, and data analysis. * Proficiency in data visualization and analysis tools, preferably Power BI , Streamlit , or other open-source tools. * Experience with relational and non-relational databases, such as SQL Server , Oracle, MySQL , PostgreSQL , MongoDB , among others. Ability to design and maintain both relational and multidimensional data models. * Experience with ETL/ELT processes and tools such as Apache NiFi , Pentaho , Airflow, and Glue , among others. * Experience with cloud ecosystems, preferably AWS , including: S3 , Glue , Athena , SageMaker , RedShift , among others. * Experience consuming data from REST APIs ; * Experience in at least one programming language used in analytical environments, such as: Java , Python , R, among others ; * Proficiency in code versioning ( Git ) and CI/CD ; * Experience in prompt engineering and use of LLMs Behavioral: * Passion for working with data; * Ability to adapt to new technologies and changes in the work environment; * Clear communication with diverse stakeholders (clients, team members, partners, managers); * Curiosity; * Proactivity; * Punctuality; * Sense of urgency; * Self-management; * Teamwork skills; * Focus and attention; * Motivation. Desirable: * Fluent English; * InterSystems technology ( COS , Ensemble , CACHÉ , and IRIS ); * Experience with ML frameworks such as Scikit-learn , TensorFlow , etc.; * Experience in large-scale, mission-critical, and high-availability environments; * Familiarity with LGPD (Brazilian General Data Protection Law); * Knowledge of Supplementary Health (TISS, TUSS, CID, CBHPM); * Healthcare data standards and coding systems ( HL7 , FHIR , IHE/PIX/PDQ , OpenEHR , SNOMED CT , LOINC , DICOM ); * Experience implementing Big Data solutions; * Experience with Snowflake; * Experience building and maintaining Machine Learning pipelines; * Knowledge of MLflow; Benefits: Birthday day-off, Paid vacation after 1 year of employment, Gympass, Health Insurance (Unimed): Only co-payment required | Coverage extends to dependents. Working Hours: Monday to Friday Knowledge Areas: Education: Bachelor’s Degree – Systems Analysis and Development, Data Engineering – Completed 2512060202191906710