Data Engineer: Databricks & Fabric Platform

Nir Yu; México; A distancia; MXN 800.000 - 1.800.000; Jornada completa

Descripción de la vacante

Nir Yu is seeking a hands-on Data Platform Engineer in Mexico to build and run production data platforms for clients. You will design ETL/ELT pipelines in Databricks and Fabric, set up lakehouses in Delta Lake, and govern data with Unity Catalog.

You will automate deployments with CI/CD and IaC, collaborating with clients and internal teams to identify improvements and new project opportunities. The role requires hands-on Databricks and Fabric experience, advanced SQL and Python, and

Formación

• Hands-on Databricks in production with PySpark, Delta Lake and Unity Catalog.
• Microsoft Fabric production experience across the full platform including Lakehouse, OneLake, Data Pipelines and Gen2 notebooks.
• Advanced SQL and Python proficiency.
• Certification: DP-900 or DP-700 with plan to earn the other within 60 days (verify via Microsoft Learn).
• English B2+ and fluent Spanish.

Responsabilidades

• Build and run production data platforms for clients (hands-on).
• Design and build ETL/ELT pipelines in Databricks and Fabric.
• Set up lakehouses with Bronze-Silver-Gold in Delta Lake.
• Govern data with Unity Catalog: permissions, lineage and quality.
• Automate deployments with CI/CD and infrastructure as code.
• Gather requirements with clients and cross-functional teams.
• Spot improvements that lead to new projects.

Conocimientos

Python

SQL

PySpark

English (B2+)

Spanish (fluent)

Educación

DP-900 certification

DP-700 certification

Herramientas

Databricks

Microsoft Fabric

Delta Lake

Unity Catalog

CI/CD / IaC

Descripción del empleo

Nir Yu is seeking a hands-on Data Platform Engineer in Mexico to build and run production data platforms for clients. You will design ETL/ELT pipelines in Databricks and Fabric, set up lakehouses in Delta Lake, and govern data with Unity Catalog.

You will automate deployments with CI/CD and IaC, collaborating with clients and internal teams to identify improvements and new project opportunities. The role requires hands-on Databricks and Fabric experience, advanced SQL and Python, and