Analytics Engineer - Data Modeling & Power BI on Fabric

Dana Incorporated; Ciudad de México; Presencial; MXN 540.000 - 900.000; Jornada completa

Descripción de la vacante

Dana Incorporated in Mexico City is seeking an Analytics Engineer to join our data team. You will design, build, and maintain data models and solutions using Microsoft Fabric, dbt, and Power BI to deliver analytics-ready datasets for business users and data scientists.

Responsibilities include collaborating with stakeholders, ensuring data quality and governance, and optimizing data transformations. The ideal candidate has 5+ years in data/analytics engineering and strong SQL skills.

Formación

• 5+ years in data engineering or analytics engineering.
• Proficient in SQL and dbt for transformations.
• Experience with Microsoft Fabric and Power BI artifacts.
• Strong data modeling and governance experience.
• Familiar with Git-based version control and CI/CD.
• Excellent problem-solving and collaboration.

Responsabilidades

• Design and implement scalable data models and transformations using dbt within the Microsoft Fabric ecosystem.
• Collaborate with stakeholders to define data needs and deliver datasets.
• Ensure data quality, governance, testing, and docs.
• Optimize performance of data transformations and queries.
• Monitor and troubleshoot data workflows.
• Contribute to best practices for data modeling and source control.

Conocimientos

Analytical thinking

Team collaboration

Problem-solving

Communication

DevOps

Herramientas

dbt

SQL

Power BI

Microsoft Fabric

Git

CI/CD

Descripción del empleo

Dana Incorporated in Mexico City is seeking an Analytics Engineer to join our data team. You will design, build, and maintain data models and solutions using Microsoft Fabric, dbt, and Power BI to deliver analytics-ready datasets for business users and data scientists.

Responsibilities include collaborating with stakeholders, ensuring data quality and governance, and optimizing data transformations. The ideal candidate has 5+ years in data/analytics engineering and strong SQL skills.