Jones Lang LaSalle Incorporated (JLL) is seeking a Senior Data Engineer to design and implement scalable, cloud-based data infrastructure. In this global role, you will partner with the Enterprise Data team across country, regional, and general levels to deliver robust data pipelines and data quality controls.
You will work with Python, SQL, PySpark, and Databricks, exploring data sources, building ingestion architectures, and ensuring reliable data flows into lakes and warehouses.
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📌 Senior Data Engineer — Cloud Data Pipelines & Databricks (Guadalajara)
🏢 Jones Lang LaSalle
📍 Guadalajara
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