Senior Data Engineer — Cloud Data Pipelines & Big Data

Jones Lang LaSalle Incorporated; Jalisco; À distance; MXN 700 000 - 1 000 000; Plein temps

Résumé du poste

Jones Lang LaSalle Incorporated is seeking a Senior Data Engineer to design, build, and maintain scalable cloud-based data infrastructure using SQL and PySpark. You will collaborate with cross-functional teams to implement data ingestion architectures, develop robust data pipelines, and ensure data quality across data lakes and warehouses.

The role requires 5+ years in data engineering or related fields, with strong experience in Databricks and cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field; Master’s preferred.
• Minimum 5+ years of experience in data engineering or full-stack development with cloud focus.

Responsabilités

• Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
• Collaborate with cross-functional teams to define data ingestion architectures and data pipelines.
• Build and optimize data pipelines to data lakes, warehouses, and analytical platforms.
• Document data infrastructure and ETL processes for knowledge transfer and maintenance.

Connaissances

PySpark

SQL

Python

Spark

Databricks

Data engineering

REST API testing

CI/CD

Formation

Bachelor's degree in Computer Science or related field

Master's degree preferred

Outils

AWS

Azure

GCP

Description du poste

Jones Lang LaSalle Incorporated is seeking a Senior Data Engineer to design, build, and maintain scalable cloud-based data infrastructure using SQL and PySpark. You will collaborate with cross-functional teams to implement data ingestion architectures, develop robust data pipelines, and ensure data quality across data lakes and warehouses.

The role requires 5+ years in data engineering or related fields, with strong experience in Databricks and cloud platforms (AWS/Azure/GCP).