Jones Lang LaSalle Incorporated
Staff Platform Engineer
Jones Lang LaSalle Incorporated, Snowflake, Arizona, United States, 85937
JLL empowers you to shape a brighter way .Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.Responsibilities:
Develop and sustain a unique, cutting-edge data platform in an innovative and leading data group. This role will include bringing to life rich data pipelines, complex orchestration, real-time data ingestions, data lineage, ML and AI pipeline serving, and incorporation of additional advanced tools and the latest technologies.Optimize advanced data pipeline infrastructure to ensure reliability, scalability, robustness, and efficiency across AWS, GCP, and Azure environments.Partner with Data Engineers, Data Analysts, and Data Scientists to understand specific requirements, optimizing data layout and infrastructure for various use cases.Qualifications:5+ years in roles such as Data Platform Engineer, Data Engineer, or Software Engineer.Proven experience in designing and developing comprehensive data platforms.Strong proficiency in Python, including Object-Oriented Programming, database integration, performance optimization, and parallelization.Expertise in web scraping using Python libraries such as Scrapy, BeautifulSoup, and Selenium.Skilled in batch and real-time data processing techniques.Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.Proficient with cloud-based databases (e.g., Google BigQuery, Snowflake), data modeling, data warehousing, and ETL design patterns.Experience with tools like Docker and Kubernetes for containerization and orchestration.Familiarity with Infrastructure as Code (IaC) tools such as Terraform.Comfortable writing, communicating, and presenting in English.B.Sc in Computer Science, Engineering, or a related field (Master’s degree advantage).Location:On-site – TEL AVIV, ISR
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Develop and sustain a unique, cutting-edge data platform in an innovative and leading data group. This role will include bringing to life rich data pipelines, complex orchestration, real-time data ingestions, data lineage, ML and AI pipeline serving, and incorporation of additional advanced tools and the latest technologies.Optimize advanced data pipeline infrastructure to ensure reliability, scalability, robustness, and efficiency across AWS, GCP, and Azure environments.Partner with Data Engineers, Data Analysts, and Data Scientists to understand specific requirements, optimizing data layout and infrastructure for various use cases.Qualifications:5+ years in roles such as Data Platform Engineer, Data Engineer, or Software Engineer.Proven experience in designing and developing comprehensive data platforms.Strong proficiency in Python, including Object-Oriented Programming, database integration, performance optimization, and parallelization.Expertise in web scraping using Python libraries such as Scrapy, BeautifulSoup, and Selenium.Skilled in batch and real-time data processing techniques.Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.Proficient with cloud-based databases (e.g., Google BigQuery, Snowflake), data modeling, data warehousing, and ETL design patterns.Experience with tools like Docker and Kubernetes for containerization and orchestration.Familiarity with Infrastructure as Code (IaC) tools such as Terraform.Comfortable writing, communicating, and presenting in English.B.Sc in Computer Science, Engineering, or a related field (Master’s degree advantage).Location:On-site – TEL AVIV, ISR
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