Jones Lang LaSalle Incorporated
Senior Data Engineer — Cloud Data Pipelines & Big Data
Senior Data Engineer at JLL in Jalisco, Mexico, designing, building, and maintaining scalable cloud-based data pipelines and ingestion architectures using SQL, PySpark, and Databricks across AWS/Azure/GCP, ensuring data quality across data lakes and warehouses.
- Compensation
- Not disclosed
- Location
- Jalisco, Mexico
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of experience in data engineering or related fields
- Strong experience with Databricks
- Experience with cloud platforms (AWS/Azure/GCP)
- Strong SQL and PySpark skills
- Experience designing data ingestion architectures and building robust data pipelines
- Experience ensuring data quality across data lakes and warehouses
Full description
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).