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.

📌 Data Management Engineer Cloud ETL Sr (Colombia)
🏢 Softtek
📍 Colombia