Cloud Data Engineer: Build Scalable Pipelines & Insights

Softtek; Colombia; Sur place; COP 60 000 000 - 96 000 000; Plein temps

Résumé du poste

Softtek in Colombia seeks a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes. You’ll work with large datasets, ensure data quality, and enable reliable access across business units.

Requirements include 4+ years in data engineering, strong SQL, data warehousing knowledge, cloud platforms, and collaboration with cross-functional teams. English at C1 level is required.

Qualifications

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

Responsabilités

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

Connaissances

Data engineering

ETL/ELT pipelines

SQL

Data quality

Data governance

Cloud platforms

Cross-functional collaboration

Outils

ETL/ELT frameworks

SQL databases

Description du poste

Softtek in Colombia seeks a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes. You’ll work with large datasets, ensure data quality, and enable reliable access across business units.

Requirements include 4+ years in data engineering, strong SQL, data warehousing knowledge, cloud platforms, and collaboration with cross-functional teams. English at C1 level is required.