Cloud Data Engineer

Founded in 1982, Softtek is a global provider of IT process-oriented services with 30 offices across North America, Latin America, Europe, and Asia. Through its 15 Global Delivery Centers located in the United States, Mexico, China, Brazil, Argentina, Costa Rica, Spain, Hungary, and India, Softtek helps large enterprises improve business outcomes in more than 20 countries. Softtek is the creator and leading pioneer of the nearshore industry.

To learn more about what we do and explore our career opportunities, please visit www.softtek.com.

Requirements

Required – Technical Skills

• 4+ years of experience as a Data Engineer or in a similar role.
• Experience designing, building, and maintaining scalable data pipelines.
• Strong knowledge of ETL/ELT processes and data integration frameworks.
• Experience working with large-scale datasets and distributed data processing.
• Strong SQL skills and experience with database optimization and management.
• Experience integrating multiple data sources and ensuring data quality, reliability, and availability.
• Knowledge of data warehousing, data modeling, and storage solutions.
• Experience working with cloud-based data platforms and modern data architectures.
• Understanding of scalability, performance optimization, and data governance principles.

Required – Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work with cross-functional teams and stakeholders.
• Strong organizational and documentation skills.
• Proactive mindset with a focus on continuous improvement.

Nice to Have (Technical Skills)

• Experience with Big Data technologies and distributed processing frameworks.
• Knowledge of data orchestration and workflow automation tools.
• Experience supporting analytics, reporting, and business intelligence initiatives.
• Familiarity with CI/CD practices for data solutions.

Responsibilities (Activities to Perform)

• Design, develop, and maintain scalable data infrastructure and pipelines.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and processing.
• Integrate data from multiple sources while ensuring quality, consistency, and reliability.
• Manage and optimize data storage, database performance, and accessibility.
• Monitor and troubleshoot data workflows and processing pipelines.
• Collaborate with business and technology teams to deliver data solutions that support organizational objectives.
• Ensure scalability, availability, and security of data platforms and services.
• Contribute to the continuous improvement of data engineering standards and best practices.

Required Languages

• English: Advanced (C1)

Additional Information

Work Location

• Colombia.

Special Conditions

• Experience working with large volumes of data and modern data architectures is required.
• Strong focus on data quality, reliability, scalability, and performance optimization.
• Ability to support end-to-end data lifecycle processes, from ingestion to consumption.