Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ams8e

Role Overview
We are seeking skilled Data Engineers to build scalable, business-ready datasets that power critical decision-making across Customer (GTM) and Finance domains.
In this role, you will design and develop robust ETL/ELT pipelines, optimize data workflows, and create efficient data models to transform raw data into actionable insights.
Key Responsibilities
- Develop and maintain end-to-end ETL/ELT pipelines using Fivetran, dbt, and Airflow
- Ensure data pipelines are scalable, reliable, and optimized for performance

Data Modeling
- Design and implement data models using:
- Kimball methodology
- Data Vault 2.0
- Build reporting-optimized datasets for analytics and business intelligence

Cross-functional Collaboration
- Work closely with Data Scientists, Analysts, and Product Managers
- Translate business requirements into technical data solutions

Technical Standards
- Contribute to best practices for:
- Transformation
- Storage and governance
- Drive process improvements and automation
- Mentor junior engineers and promote collaboration




- Partner with stakeholders across business and technical teams

Technical Requirements
Experience
- Data Engineer: 2+ years
- Senior/Principal: 5+ years
- Experience building scalable, low-latency data systems
- Strong knowledge of:
- Data Vault 2.0
- Data Warehousing concepts

Snowflake Expertise
- Query optimization
- Understanding of:

Programming & Tools
- Python (required)
- Airflow (orchestration)
- Git / GitHub

AI & Productivity Tools
- Experience with AI coding assistants such as:
- Snowflake CoCo

Agile
- Experience working in Agile environments
- Strong communication with technical and non-technical stakeholders

Domain Experience (Preferred)
Customer (GTM)
- Google Analytics

Finance
- Anaplan
- SAP
- Implement and maintain data quality checks and monitoring
- Ensure data integrity and reliability
- Manage multiple priorities and deliver within deadlines

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ams8e

📌 Data Engineer (Bogotá)
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