Senior Data Engineer – Cloud Pipelines & PySpark

Jones Lang LaSalle Incorporated; Guadalajara; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Jones Lang LaSalle Incorporated (JLL) is seeking a Data Engineer P2 to join its Enterprise Data team in a fast-paced, global setting. You will design and build scalable data infrastructure, pipelines, and validation processes using PySpark, SQL, and Databricks.

The role requires 3–5 years in data engineering or full-stack data work in cloud environments, with a strong focus on data quality and collaboration with data scientists and analysts.

Formación

• Bachelor's degree in CS, Data Engineering, or related field; Master’s preferred.
• 3–5 years of experience in data engineering or full-stack development in cloud environments.

Responsabilidades

• Design, develop, and maintain cloud-based data infrastructure using SQL and PySpark.
• Build data ingestion architectures and scalable ETL pipelines.
• Collaborate with cross-functional teams to meet data requirements and ensure data quality.

Conocimientos

Python

SQL

PySpark

Databricks

Cloud platforms

REST APIs

CI/CD

Data pipelines

Data warehousing

Testing

Educación

Bachelor's degree in Computer Science or related field

Master's degree preferred

Herramientas

Databricks

AWS/Azure/GCP

Descripción del empleo

Jones Lang LaSalle Incorporated (JLL) is seeking a Data Engineer P2 to join its Enterprise Data team in a fast-paced, global setting. You will design and build scalable data infrastructure, pipelines, and validation processes using PySpark, SQL, and Databricks.

The role requires 3–5 years in data engineering or full-stack data work in cloud environments, with a strong focus on data quality and collaboration with data scientists and analysts.