Senior Data Engineer - Enterprise Data Platform

Kruger Inc.; Medellín; Presencial; COP 180.000.000 - 300.000.000; Jornada completa

Descripción de la vacante

Kruger Inc. is seeking a Senior Data Engineer to join the Data Platform team and design, build, and deliver enterprise data products on Microsoft Fabric.

You will provide data solutions for both on-premises and cloud environments, collaborating with business and technical stakeholders to translate requirements into scalable data resources. The role combines strong data engineering with end-user engagement, requiring you to mentor colleagues, participate in architecture discussions, and

Formación

• Bachelor's or Master's degree in Computer Science, Software/Data Engineering, or a related technical field.

Responsabilidades

• Design, develop, and maintain scalable data products using Microsoft Fabric.
• Build and optimize data pipelines, Lakehouses, Warehouses, Semantic Models, and related Fabric components.
• Build and deliver data solution for both on-prem and cloud environments.
• Develop ELT pipelines using SQL, Python, and Spark where appropriate.
• Design source-to-target mappings and transformation logic.
• Optimize data pipelines for scalability, reliability, and performance.
• Ensure solutions follow engineering best practices and enterprise standards.
• Mentor junior engineers or interns and share technical knowledge across the team.

Conocimientos

Python

SQL

Spark PySpark

Lakehouse

Microsoft Fabric

Azure Data Factory

Synapse Analytics

Databricks

Git

CI/CD

DataOps

Data modeling

Stakeholder mgmt

Communication

Problem-solving

Educación

Bachelors/Masters in CS or related field

Herramientas

Git

CI/CD

Azure Data Factory

Synapse Analytics

Databricks

Delta Lake

Descripción del empleo

Kruger Inc. is seeking a Senior Data Engineer to join the Data Platform team and design, build, and deliver enterprise data products on Microsoft Fabric.

You will provide data solutions for both on-premises and cloud environments, collaborating with business and technical stakeholders to translate requirements into scalable data resources. The role combines strong data engineering with end-user engagement, requiring you to mentor colleagues, participate in architecture discussions, and