Responsibilities
- Build, maintain, and extend scalable, reliable, AWS-native data pipelines to facilitate efficient client data onboarding.
- Take full ownership of new client data integrations, translating varied data structures into standardized platform formats.
- Provide robust production support, monitoring active pipelines, executing root‑cause analyses, and deploying timely fixes to guarantee high availability.
- Collaborate with backend engineers to support legacy pipeline components and ensure consistent data flow across environments.
- Document system configurations, pipeline architectures, mapping schemas, and runbooks to facilitate team alignment.
- Support essential compliance reporting and metadata tracking workflows.

Requirements




- 5+ years of professional software development experience with a strong focus on Python and data engineering.
- Proven track record of designing, building, and extending AWS-native data ingestion and onboarding pipelines.
- Deep experience independently troubleshooting complex, high‑volume production data workflows.
- Experience onboarding new client data sources and managing complex data‑transformation schemas.

Core Competencies

Demonstrates expertise in building and maintaining AWS-native data pipelines, with a strong focus on Python for data engineering. Capable of managing client data integrations and ensuring high availability through robust production support and documentation.

📌 Senior AI Data Engineer, Python Backend (Colombia)
🏢 Jobtailor
📍 Colombia