Cloud Data Quality Engineer

Data Management Engineer
- Cloud Required – Soft Skills·        Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
·        Minimum of 3 years of experience in Data Engineering, Data Quality, Data Management, or related disciplines.
·        Strong hands-on experience with SQL, Python, and PySpark.
·        Experience working with Databricks and cloud-based data platforms.
·        Experience developing, consuming, and integrating REST APIs.
·        Solid knowledge of data validation, testing methodologies, and Data Quality practices.
·        Experience translating business requirements into technical data validation and quality controls.
·        Experience designing, developing, and optimizing scalable data solutions.
·        Experience performing unit testing, data validation, and business validation activities.
·        Experience creating and maintaining technical and functional documentation.
·        Strong analytical and problem-solving skills.
·        Strong verbal and written communication skills.
·        Ability to collaborate effectively with business stakeholders and cross-functional teams.
·        Ability to manage multiple priorities in a fast-paced environment.
·        Advanced English proficiency. Nice to Have – Technical Skills·        Experience with Collibra Data Quality & Observability (DQ&O).
·        Knowledge of Data Governance and Data Management best practices.
·        Experience working within Financial Services or other highly regulated industries.
·        Familiarity with cloud ecosystems such as Microsoft Azure, AWS, or similar cloud platforms.
·        Experience supporting enterprise-scale Data Quality initiatives and migration projects.
·        Knowledge of Data Governance frameworks, metadata management, and data stewardship practices. Responsibilities (Activities to be Performed)
·        Analyze existing Data Quality rules, logic, and business requirements.
·        Translate business requirements into SQL-based data validation controls and quality checks.
·        Develop, optimize, and maintain solutions using SQL, Python, and PySpark.
·        Implement and configure Data Quality controls within Collibra Data Quality & Observability (DQ&O).
·        Design, develop, and integrate REST APIs to support data validation, automation, and system integrations.
·        Leverage Databricks and cloud-native technologies to develop scalable Data Quality solutions.
·        Perform unit testing, data validation, reconciliation, and business validation activities.
·        Collaborate with business stakeholders to review findings, validate outcomes, and refine Data Quality rules.
·        Create and maintain technical, operational, and functional documentation.
·        Support the migration, validation, and deployment of more than 200 enterprise Data Quality controls.
·        Execute migration activities using a standardized and reusable migration framework.
·        Coordinate migration waves across multiple business domains and stakeholder groups.
·        Monitor implementation quality and ensure compliance with Data Quality standards and governance requirements.
·        Contribute to continuous improvement initiatives related to Data Quality processes and controls. Required Languages·        English: Advanced Additional InformationTravel Requirements·        Not specified. Special Conditions·        Contract: Initial 3-month contract, with the possibility of extension based on project needs and performance. Full-time dedication
·        Work Modality: Hybrid / Remote (to be defined according to business needs).
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Location:
Colombia