Job Description

Requirements

Required – Technical Skills

• 4+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong experience designing, building, and maintaining scalable data pipelines.
• Hands-on experience with ETL/ELT processes and data integration solutions.
• Experience working with large volumes of structured and unstructured data.
• Strong knowledge of database management, data storage technologies, and data warehousing concepts.
• Experience integrating multiple data sources and ensuring data consistency and reliability.
• Knowledge of data modeling, data transformation, and data quality best practices.
• Experience optimizing data processing performance, scalability, and availability.
• Familiarity with cloud-based data platforms and modern data architectures.
• Understanding of data governance, security, and data lifecycle management principles.

Required – Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively with cross-functional teams and stakeholders.
• Strong attention to detail and commitment to data quality.
• Proactive mindset with a focus on continuous improvement.
• Ability to manage multiple priorities in fast-paced environments.
• Strong organizational and documentation skills.

Nice to Have (Technical Skills)

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Big Data technologies and distributed processing frameworks.
• Experience with data orchestration and workflow automation tools.
• Familiarity with Data Lake, Lakehouse, and modern analytics architectures.
• Knowledge of CI/CD practices for data pipelines.
• Experience supporting business intelligence and advanced analytics initiatives.

Responsibilities (Activities to Perform)

• Design, develop, and maintain scalable data infrastructure to support enterprise data initiatives.
• Build and optimize data pipelines for efficient data ingestion, transformation, and processing.
• Develop and maintain ETL/ELT solutions to ensure reliable and high-quality data delivery.
• Integrate data from multiple internal and external sources.
• Manage and optimize database storage, performance, and availability.
• Ensure data quality, consistency, integrity, and accessibility across platforms.
• Monitor and troubleshoot data workflows and pipeline performance issues.
• Collaborate with business, analytics, and technology teams to understand data requirements and deliver scalable solutions.
• Support the implementation of data governance, security, and compliance standards.
• Contribute to the continuous improvement of data architecture and engineering best practices.
• Ensure the scalability, reliability, and availability of data platforms and solutions.

Required Languages

• English: Upper-Intermediate (B2)

Additional Information

Location

• Colombia, Mexico (Hybrid)

Special Conditions

• The role requires experience working with large-scale data environments and modern data integration practices.
• Candidates should be comfortable working with multiple data sources and supporting end-to-end data lifecycle processes.
• Strong focus on data quality, scalability, reliability, and operational excellence is essential for success in this position.