at Jones Lang LaSalle in Chicago, Illinois, United States
Job Description
About JLL and JLL Technologies
JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.
JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.
What this job involves
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 Lead 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 Data Engineering Lead at JLL Technologies, you will:
Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
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.
Identify performance bottlenecks in the data pipelines, ETL processes, and queries, and propose and implement optimization strategies to improve overall system performance.
Define and implement data architecture best practices, ensuring the scalability, availability, and security of data infrastructure, including data lakes, data warehouses, and related components.
Collaborate with data scientists and analysts to design and implement data models that support complex analytical and reporting requirements.
Conduct data profiling, validation, and quality checks to ensure data integrity and consistency.
Unify, enrich, and analyze variety of data to derive insights and opportunities
Design and develop scalable, reliable, and efficient data pipelines, utilizing appropriate technologies and frameworks such as Apache Spark, Airflow, and cloud-based services (e.g., ADLS, AWS S3, Google Cloud Storage).
Optimize data extraction, transformation, and loading processes (ETL) to enable smooth and timely ingestion of large volumes of structured and unstructured data from various sources.
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
Establish and... For full info follow application link.
JLL Is an Equal Opportunity Employer JLL is committed to developing and maintaining a diverse workforce. JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law. The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.
