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San Francisco, CA Full Time Posted by: Jones Lange LaSalle Posted: Tuesday, 2 March 2021
 
 

JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL's data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey!

We are looking for a Principal Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

As a Principal Data Engineer at JLL Technologies, you will:

Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture

Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate

Functionally lead team of data engineers to deliver data solutions in Agile manner while mentoring junior-level data engineers

What we are looking for:

Bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.?

Minimum of 6 years of experience as a data developer using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.

Excellent technical, analytical and organizational skills.

Hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc

Hands-on Experience for building Data Pipelines in Cloud.

Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.

Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues

Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

Someone who is genuinely excited about data infrastructure and operations with a familiarity working in cloud environments and Working with data excites you: you have created data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems


San Francisco, CA, United States of America
IT
Click apply
JS7750_8084385
3/2/2021 5:26:35 PM


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