Data Quality Engineer

Description

LOCATION \+ model Alcantara, Hybrid (2x in the office) Technical Skills: * Experience with data quality and data governance tools. * Knowledge of SQL, Python (preferable). * Familiarity with data cataloging processes and data glossaries. * Critical thinking ability and attention to detail. Note: Soon, they will choose a technology for Data Quality. Requirements: Responsibilities: * Define and implement data quality rules. * Monitor and validate data integrity in pipelines. * Work with tools such as SODA, Collibra and Cortex. * Collaborate with engineering and business teams to ensure compliance with data policies. * Automate tests and validations via GitLab or other CI/CD tools.