Data Engineer – Google Cloud Platform, GCP

• Design, develop, and maintain scalable data ingestion pipelines and workflows using Google Cloud Platform
• Implement and optimize data processing and transformation solutions using BigQuery, Dataform, Pub/Sub, Cloud Storage, and Cloud Composer
• Develop SQL queries to extract, transform, validate, and troubleshoot data across enterprise systems
• Build and maintain ingestion processes that integrate data from multiple sources into BigQuery
• Troubleshoot pipeline failures, data inconsistencies, and production issues to ensure operational stability
• Develop and execute unit, system, integration, and user acceptance testing, documenting results and ensuring solution quality
• Collaborate with engineering teams, architects, and business stakeholders to translate requirements into effective technical solutions
• Participate in technical design discussions, code reviews, project planning, and continuous improvement initiatives
• Prepare and maintain technical documentation, development specifications, and implementation plans
• Follow security, data governance, and engineering standards when handling sensitive information
• Participate in an on-call production support rotation, typically one full week every 4–6 weeks

• 3+ years of professional experience in data engineering, data integration, or related technical roles
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• Experience designing, developing, and maintaining cloud-based data ingestion pipelines
• Experience implementing and supporting data processing workflows in Google Cloud Platform environments
• Experience troubleshooting production data pipelines and resolving data quality or integration issues
• Familiarity with software development practices, testing methodologies, and technical documentation
• Ability to work independently and collaborate effectively with technical teams and business stakeholders
• Hands-on experience with Google Pub/Sub for event-driven messaging and data ingestion
• Strong knowledge of BigQuery for data warehousing, querying, and processing
• Experience with Google Dataform for SQL-based data transformations and workflow management
• Experience designing and implementing data ingestion processes into BigQuery from multiple sources
• Experience with Google Cloud Storage for cloud-based data storage and integration
• Knowledge of Cloud Composer (Apache Airflow) for workflow orchestration and scheduling
• Experience using GitHub for version control and collaborative development
• Strong SQL skills for data querying, transformation, validation, and troubleshooting
• Experience with Google Cloud Data Fusion
• Experience connecting to and interacting with relational databases such as SQL Server, DB2, or Oracle
• Experience consuming and integrating RESTful APIs and SOAP web services
• Familiarity with additional Google Cloud services, databases, and enterprise integrations
• Experience using Jira and Confluence for project management and documentation
• Previous experience working in the retail industry
• Must be based in Colombia and work Eastern Time (ET) hours

• All mandatory Colombian employment benefits and statutory entitlements, in accordance with applicable labor legislation
• A fully remote working arrangement, aligned with Eastern Time working hours
• Opportunities for professional growth, collaboration, and continuous learning
• A stimulating environment where you can challenge yourself and discover new horizons
• A strong culture of innovation and entrepreneurship
• Opportunities to work on enterprise-scale data engineering projects using modern cloud technologies