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Spanish Description to Follow

Who You'll Work With
Empresa confidencial’s Enhance & Operate (E&O;) team is looking for a hands-on Data Engineer who enjoys building and improving data pipelines and keeping production platforms running smoothly. In this role, you’ll support a modern Snowflake + Azure Data Factory (ADF) Enterprise Data Warehouse (EDW) ecosystem, combining data engineering fundamentals with operational excellence—monitoring pipelines, resolving incidents, developing code enhancements, and continuously improving reliability and performance in a service-oriented environment.

You’ll work with a highly collaborative, cross-regional delivery model (“all-shore”) and partner closely with both technical and non-technical stakeholders.
Work schedule: This role may require shift coverage between 12:00 AM – 12:00 AM Central Time (CT) (rotations may apply depending on team needs).
What You’ll Do
Build, enhance, and troubleshoot Azure Data Factory (ADF) pipelines and Snowflake ELT/ETL processes.
Monitor daily/weekly/monthly data batch cycles and respond quickly to job failures,



latency, or data-quality issues.
Diagnose and resolve production incidents within Service-Level Agreements (SLA) targets using SQL, Python, platform logs, documentation, and runbooks.
Perform root cause analysis (RCA), write documentation of findings, and implement fixes to prevent recurrence of issues.
Drive operational improvements: automation, alert tuning, performance optimization, and reliability enhancements.
Work within ITIL/ITSM workflows (ticketing, incident/problem management, change processes) and communicate clearly with both technical and business stakeholders.
Collaborate with teammates across regions—sharing context early, documenting decisions, and maintaining strong handoffs.
What You Bring
Required
A proactive, data platform service-focused mindset: you will own incidents, issues, and development work end-to-end and follow your work through to resolution.
A Problem-solving mindset; Willi

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1azwtf

📌 Data Engineer (Colombia)
🏢 Importante grupo
📍 Colombia