Senior Data Engineer: Scale Data Pipelines & Semantic Layer

Instructure; Ciudad de México; Híbrido; MXN 1.223.348 - 1.572.876; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Flexible work culture

Generous time off

Comprehensive wellness programs

Learning and development resources

Motivosity employee recognition program

Descripción de la vacante

Instructure is seeking a Senior Data Engineer in Mexico City to lead the development of their core data infrastructure. You will design and implement scalable ETL/ELT pipelines using tools like Snowflake and Databricks, ensuring high-quality data governance and robust data models.

The ideal candidate possesses extensive experience in cloud data warehousing, eager to work in a collaborative environment focused on data integrity and innovation. Instructure offers a flexible work culture and generous benefits to support your growth.

Formación

• Expert-level proficiency in Snowflake and data warehousing.
• Advanced mastery of dbt and complex SQL transformation logic.
• Strong Python skills with hands-on experience in Databricks.

Responsabilidades

• Design, build, and deploy scalable ETL/ELT pipelines.
• Manage data flows within an AWS environment with high availability.
• Implement and scale the Semantic Layer for standardizing metrics.

Conocimientos

Snowflake

dbt

Python

Databricks

AWS

Descripción del empleo

Instructure is seeking a Senior Data Engineer in Mexico City to lead the development of their core data infrastructure. You will design and implement scalable ETL/ELT pipelines using tools like Snowflake and Databricks, ensuring high-quality data governance and robust data models.

The ideal candidate possesses extensive experience in cloud data warehousing, eager to work in a collaborative environment focused on data integrity and innovation. Instructure offers a flexible work culture and generous benefits to support your growth.