Senior Data Engineer - Remote, Flexible Hours

AgileEngine, LLC.

Bogotá

Presencial

COP 110.000.000 - 170.000.000

Jornada completa

14 días+

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Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
100% remote
Meaningful projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine, LLC is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative, building Snowflake semantic structures, cleaning and transforming customer and behavioral datasets, and developing AI-ready data models for a growing retail brand.

You will write production-grade SQL and Python, build and maintain data models and semantic views in Snowflake, and collaborate with cross-functional stakeholders to translate operational needs into

Formación

  • 4+ years writing complex, optimized SQL with window functions.
  • Strong Python skills for data manipulation and automation.
  • Hands-on cloud data platform experience (AWS/Snowflake/GCP/Azure).
  • Excellent stakeholder communication and documentation discipline.

Responsabilidades

  • Model and transform data inside Snowflake to feed the CDP.
  • Develop semantic models and metadata for AI readiness and BI tools.
  • Prepare data for retail initiatives and analytics projects.
  • Write production-grade SQL and Python for data wrangling and automation.
  • Collaborate with business stakeholders to translate needs into data models.
  • Parse and flatten semi-structured data (JSON) from cloud sources.
  • Build and maintain data models and semantic views in Snowflake.
  • Document data assets with dictionaries and descriptions.
  • Maintain clean code repositories and git workflows.

Conocimientos

SQL
Python
Stakeholder communication
Documentation

Herramientas

Snowflake
AWS
GCP
Azure
dbt
Airflow

Descripción del empleo

AgileEngine, LLC is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative, building Snowflake semantic structures, cleaning and transforming customer and behavioral datasets, and developing AI-ready data models for a growing retail brand.

You will write production-grade SQL and Python, build and maintain data models and semantic views in Snowflake, and collaborate with cross-functional stakeholders to translate operational needs into

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