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 Information

Travel Requirements

Not specified.

Special Conditions

- Contract: Initial 3-month contract, with the possibility of extension based on project needs and performance. Full-time dedication required.
- Work Modality: Remote.
- Location: Colombia

📌 Data Management Engineer - Cloud (Colombia)
🏢 Softtek
📍 Colombia