Senior Analytics Engineer (Remote) | dbt, SQL, Snowflake

Darwoft

Rosario

Híbrido

ARS 182.310.000 - 273.465.000

Jornada completa

Hace 4 días
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Professional growth
Competitive USD-based compensation
Varied projects with Fortune 500 and A
Flextime: work from home or office

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to build data pipelines and analytics models for BI and strategic decisions in media/entertainment. You will translate complex business use cases into robust data models using dbt and SQL, handling revenue data from platforms like Tubi, Roku, YouTube, and Amazon, and join with internal contracts.

You will create scalable pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python, transitioning tribal knowledge to dbt catalogs.

Formación

  • 4+ years in data/analytics engineering in production environments.
  • Expert-level Python and SQL skills.
  • Proficiency with Snowflake and development tools (GitHub, VS Code).
  • Ability to thrive in a process-light environment with cross-functional teams.

Responsabilidades

  • Deliver robust data features and pipelines in project teams for fast-paced, business-facing areas.
  • Translate business use cases into data models using dbt and SQL; aggregate revenue data from platforms and internal contracts.
  • Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python; document transitions to dbt catalogs.
  • Leverage AI tools within development workflow (GitHub Copilot, Snowflake Cortex) and advocate governance-compliant adoption.
  • Collaborate with product managers, data visualization leads, and analysts to deliver consumption-ready data.

Conocimientos

Python
SQL
Snowflake
GitHub
VS Code
ETL pipelines

Herramientas

dbt Cloud
GitHub Copilot
Snowflake Cortex
dbt wizard features

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to build data pipelines and analytics models for BI and strategic decisions in media/entertainment. You will translate complex business use cases into robust data models using dbt and SQL, handling revenue data from platforms like Tubi, Roku, YouTube, and Amazon, and join with internal contracts.

You will create scalable pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python, transitioning tribal knowledge to dbt catalogs.

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