Senior Data Engineer — Cloud Data Pipelines & Databricks
Senior Data Engineer at JLL in Guadalajara, Mexico, designing and building scalable cloud data infrastructure — exploring data sources, creating ingestion architectures, and ensuring reliable flows into data lakes and warehouses with data quality controls. Core stack: Python, SQL, PySpark, and Databricks, within JLL's global Enterprise Data team.
- Compensation
- Not disclosed
- Location
- Guadalajara, Mexico
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience with Python, SQL, and PySpark
- Experience with Databricks
- Design and implement scalable, cloud-based data infrastructure
- Explore data sources and build ingestion architectures
- Ensure reliable data flows into data lakes and warehouses
- Deliver data quality controls
Nice to have
- Experience partnering with enterprise data teams across country, regional, and global levels
Full description
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 global 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.