Company Name:-
JLL

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Global Valuations
Technology, Data & Information Management Centre of Expertise (TDIM CoE) (Bangalore)
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 Staff 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.

About the role

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
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 analyse 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 sto

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