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