Data Management Engineer Cloud ETL Sr

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

· Work Modality: Hybrid / Remote (to be defined according to business needs).

· Location: Colombia