Senior AI Data Engineer, Python Backend

Jobtailor; Colombia; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking an experienced Data Pipeline Engineer to build, maintain, and extend AWS-native data pipelines for client onboarding in Colombia. You will own new client data integrations and translate varied data structures into standardized platform formats.

You will provide robust production support, perform root-cause analyses, and deploy timely fixes to ensure high availability. Collaborate with backend engineers to support legacy components, document configurations, mapping schemas,

Formación

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

Responsabilidades

• 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.

Conocimientos

Python

Data engineering

AWS

Production support

Root-cause analysis

Data ingestion

Descripción del empleo

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.