Este es un puesto de trabajo remoto.
 Resumen del puesto 
 We are looking for a skilled Data Engineer to design, build, and maintain scalable data systems supporting analytics and machine learning initiatives.
 Responsabilidades Clave 
  - Design and maintain scalable ETL/ELT pipelines in Python, integrating structured and semi‑structured data (JSON, CSV, XML) across Snowflake, MongoDB, Postgres, and AWS services (S3, Glue, Lambda, EC2, EMR, Redshift, RDS).
 
 
- Build and optimize transformation and orchestration workflows using DBT, Airflow, Prefect, or Dagster.
 
 
- Implement data governance, quality checks, and security best practices throughout data pipelines.
 
 
- Extend and optimize the Elastic Hierarchy framework to harmonize financial data from various systems.
 
 
- Collaborate with analysts, ML engineers, and product teams to deliver business‑ready datasets and data solutions.
 
 
Requisitos 
  - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
 
 
- Strong Python programming skills with experience in data processing and automation.
 
 
- Proven experience with the AWS data ecosystem, including S3, Glue, Lambda, EMR, EC2, Redshift, and RDS.
 
 
- Hands‑on experience with Snowflake, MongoDB, and Postgres databases.
 
 
- Proficiency with DBT or similar data transformation tools, and with orchestration frameworks such as Airflow, Prefect, or Dagster.
 
 
- Knowledge of data mapping, attribution, or reconciliation (experience in financial services is a strong plus).
 
 
- Understanding of hybrid/on‑premise deployment models within enterprise environments.
 
 
- Excellent English communication skills and ability to collaborate effectively within distributed teams.
 
 
Detalles del puesto 
  - Seniority level: Mid‑Senior level 
- Employment type: Full‑time 
- Job function: Information Technology 
- Industries: IT Services and IT Consulting 
Ubicación 
 Medellin, Antioquia, Colombia 
 Remote work is available.
  #J-18808-Ljbffr