Senior Data Engineer: Cloud Data Pipelines & PySpark

JLL Engineering Services, MEX; Jalisco; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

JLL Engineering Services, MEX in Jalisco, Mexico, is seeking a Senior Data Engineer to design and build scalable cloud data solutions as part of our Enterprise Data team. This role requires deep expertise in Python, SQL, PySpark, and data pipelines, and offers collaboration with a global team across country, regional, and global levels.

You will work on data lakes, data warehouses, and analytical platforms, ensure data quality, and stay current with cloud data engineering best practices in a

Qualifications

• Bachelor's degree in Computer Science or related field; master's preferred.
• 5+ years of data engineering or full-stack development in cloud environments.
• Proven expertise with Python, SQL, PySpark, Spark on large-scale data projects.

Responsibilities

• Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
• Collaborate with cross-functional teams to define data ingestion architecture.
• Build data pipelines to data lakes and data warehouses.
• Troubleshoot data processing, quality, and pipeline performance.
• Document infrastructure and ETL processes; create automated tests.

Skills

Python

SQL

PySpark

Spark

Cloud platforms

Education

Bachelor's degree in Computer Science

Master's degree preferred

Tools

AWS

Azure

GCP

Snowflake

Airflow

Job description

JLL Engineering Services, MEX in Jalisco, Mexico, is seeking a Senior Data Engineer to design and build scalable cloud data solutions as part of our Enterprise Data team. This role requires deep expertise in Python, SQL, PySpark, and data pipelines, and offers collaboration with a global team across country, regional, and global levels.

You will work on data lakes, data warehouses, and analytical platforms, ensure data quality, and stay current with cloud data engineering best practices in a