Data Engineer 2
Jones Lang LaSalle Incorporated1 month ago
Guadalajara, MexicoMid Level
Responsibilities
- Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
- Define data ingestion architecture and implement data pipelines connecting data sources to data lakes, warehouses, and analytical platforms.
- Troubleshoot data processing, data quality, and pipeline performance issues.
- Collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
- Document data infrastructure, pipelines, and ETL processes.
- Create complex automated tests and integrate them into testing frameworks.
- Validate databases, streaming services, real-time APIs, web services, microservices, and data pipelines.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field; a master's degree is preferred.
- At least 3-5 years of experience in data engineering or full-stack development focused on cloud-based environments.
- Strong expertise in Python, SQL, PySpark, Spark, and large-scale data projects.
- Strong Databricks experience and database/backend testing skills, including complex SQL validation queries.
- Experience with streaming, real-time API and service validation, automated web services, WSDL, REST microservices, and custom validation scripts.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Proficiency in object-oriented programming and software design patterns.
- Experience with DevOps practices, continuous integration tools, GitHub, and automation-script troubleshooting.
- Experience with unit, functional, integration, user acceptance, system, and security testing of data pipelines.
- Strong experience designing data pipelines, ETL processes, and workflow automation.
- Familiarity with data warehousing, dimensional modeling, data governance, and cloud data warehouses such as AWS Redshift, Google BigQuery, or Snowflake.
- Familiarity with AI technologies and the ability to learn emerging concepts and frameworks.
- Strong problem-solving, communication, collaboration, attention to detail, and adaptability.
Benefits
- On-site work arrangement in Jalisco, Mexico.
- Global collaboration with JLL Technologies teams at country, regional, and global levels.
- Equal opportunity employer with reasonable accommodation support for individuals with disabilities.
Tech Stack
Categories
Data Engineering
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).