Senior Data Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

As a Data Engineer, you will be responsible for:

• 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 

• Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development 

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

• Unify, enrich, and analyze variety of data to derive insights and opportunities 

• 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 

• Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform 

• Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org 

Sounds like you? To apply you need to be: 

Experience and Education:
In order to achieve the key objectives of role, you will need the following skills and experience

• 7+ years’ overall work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 

• Hands-on engineer 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. 

• 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. 

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

• Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity 

• Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application 

• 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 

• 5+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools 

• Independent and able to manage, prioritize & lead workload 

Technical Skills & Competencies

• Data Structures and Algorithms

• Experience in writing high performance production ready code.

• Azure infrastructure - Databricks and Azure Functions

• Python libraries such as NumPy, SciPy, Pandas, etc

Location:

On-site –Chicago, IL

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we