Senior Data Engineer
Jones Lang LaSalle Incorporated29 days ago
Guadalajara, MexicoSenior
Responsibilities
- Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
- Collaborate with teams to define data requirements, identify data sources, and design data ingestion architectures.
- Implement data pipelines that move data from various sources to data lakes, data 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 for knowledge transfer and handover.
- Create complex automated tests and integrate them into testing frameworks.
- Stay current with cloud data engineering technologies, tools, and best practices.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related field; a master’s degree is preferred.
- At least 5 years of experience in data engineering or full-stack development, focused on cloud-based environments.
- Advanced expertise in Python, SQL, PySpark, and Spark, with experience on large-scale data projects.
- Strong Databricks experience and advanced database/backend testing skills, including complex SQL validation queries.
- Experience validating streaming systems, real-time APIs/services, automated web services using WSDL, and data-driven tests with scripts and assertions.
- Experience with Amazon Web Services, 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 integration.
- 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, and 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.
- JLL states that it is committed to equal opportunity and provides reasonable accommodations for individuals with disabilities.
- The role offers collaboration with global, regional, and country-level JLL Technologies teams.
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).