Senior Data Engineer - Remote, Snowflake CDP & AI Readiness

AgileEngine, LLC.

Capital

Presencial

COP 313.195.000 - 438.473.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: 100% remote

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-readiness 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, collaborate directly with cross-functional business stakeholders to translate operational

Formación

  • 4+ years writing complex, optimized SQL for data engineering tasks.
  • Strong Python skills for data manipulation, automation and QA.
  • Hands-on cloud data ecosystem experience (AWS, Snowflake, GCP or Azure).
  • Ability to translate business needs into technical specifications and maintain docs.

Responsabilidades

  • CDP data modeling in Snowflake with clean, transformed datasets.
  • Develop semantic views and metadata to support AI and BI tools.
  • Engineer datasets for retail initiatives; handle semi-structured data.
  • Write production-grade SQL and Python for data wrangling and automation.
  • Collaborate with stakeholders and maintain thorough data documentation.

Conocimientos

SQL
Python
Snowflake
Cloud platforms
Data modeling
Data wrangling
Stakeholder communication
Documentation

Herramientas

Snowflake
AWS/GCP/Azure
dbt
S3

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-readiness 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, collaborate directly with cross-functional business stakeholders to translate operational

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