Senior Data Analytics Engineer - Snowflake dbt Flexitime

AgileEngine, LLC.; Mar del Plata; Presencial; ARS 137.157.000 - 228.596.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine in MAR DEL PLATA, Buenos Aires, is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models for business intelligence and strategic decision-making in the media and entertainment sector.

You will translate complex business use cases into robust data models with dbt Cloud and SQL, develop pipelines in Snowflake, and collaborate with product managers and analysts to deliver consumption-ready data.

Formación

• 4+ years of experience in data engineering or analytics engineering in a production environment.
• Expert-level Python and SQL skills.
• Extensive hands-on experience building transformation pipelines in dbt Cloud.
• Strong proficiency with Snowflake as a modern cloud data platform.
• Experience with GitHub and VS Code for development.

Responsabilidades

• Deliver robust data features and pipelines within project teams for business-facing verticals.
• Translate complex use cases into robust data models using dbt and SQL.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Collaborate with leadership to adopt AI tools within governance setups.
• Partner with product managers and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

dbt Cloud

Herramientas

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine in MAR DEL PLATA, Buenos Aires, is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models for business intelligence and strategic decision-making in the media and entertainment sector.

You will translate complex business use cases into robust data models with dbt Cloud and SQL, develop pipelines in Snowflake, and collaborate with product managers and analysts to deliver consumption-ready data.