Senior Data Engineer: Databricks & Spark, Hybrid (Mexico City)

Marsh McLennan; Ciudad de México; Híbrido; MXN 1,440,000 - 1,801,000; Jornada completa

Descripción de la vacante

A global consulting firm in Mexico City is looking for a Senior Data Engineer to design and maintain Databricks pipelines and CI/CD workflows. The role requires at least 5 years of experience in data engineering, advanced proficiency in Python, SQL, and Spark, as well as practical experience on cloud platforms. This hybrid position mandates working in the office at least three days a week, promoting teamwork and professional development opportunities.

Servicios

Professional development opportunities

Vibrant and inclusive culture

Career opportunities and benefits

Formación

• Minimum 5 years of experience in data engineering or a related role.
• Strong proficiency in Python, SQL, and Spark.
• Practical experience with Databricks on a cloud platform.

Responsabilidades

• Design, implement, and operate Databricks-based data ingestion and transformation pipelines.
• Optimize Spark performance and manage large-scale data workflows.
• Build and maintain CI/CD for Databricks artifacts across environments.

Conocimientos

Python

SQL

Spark

Databricks

CI/CD workflows

Unity Catalog

English communication (C1 level)

Educación

Advanced degree in Computer Science or Engineering

Herramientas

Airflow

Docker

Kubernetes

Descripción del empleo

A global consulting firm in Mexico City is looking for a Senior Data Engineer to design and maintain Databricks pipelines and CI/CD workflows. The role requires at least 5 years of experience in data engineering, advanced proficiency in Python, SQL, and Spark, as well as practical experience on cloud platforms. This hybrid position mandates working in the office at least three days a week, promoting teamwork and professional development opportunities.