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Dofactory.com

Data Engineer

Company
JLL
Location
Chicago, IL
Job Type
Fulltime
Level
Senior level
Skills

Job Description

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.

If you live and breathe digital, we want to offer you a super challenging and exciting role in LaSalle’s Digital Transformation Team. Imagine using digital technologies to disrupt the real estate investment industry.

Our job in LaSalle’s Digital Transformation Team is to be brave and accelerate the impact of digital transformation by partnering closely with our business units, we prototype ideas, test them in the real business scenarios, and quickly adapt the solution. Combining data science, human-centered design, and the latest rapid development techniques—such as agile, microservices and DevOps—we help deliver breakthrough products, experiences, and businesses.

For our Digital Transformation, we are building a LaSalle’s Digital Experience (LDX) Platform on Azure. The LDX platform will be powered by multiple COTS/Custom Build applications and unified data and content platforms. We are setting up Digital Engineering Hub in Bangalore to support the global implementation of LaSalle’s Digital Transformation Program, this position will be based in US preferable in central time zone..

Responsibilities
5+ years of proven experience in Power BI Data model, debug DAX queries and functions in Power BI.
Strong in Looker data modelling and LookML understanding
Suggest essential technical and strategic changes to improvise present business intelligence systems.
Collaborate with database owners and ETL/ELT to achieve the best BI solutions.
Collaborate with team to resolve issues, help is designing best enhanceable solutions.
Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.
Good understanding of Jira, work in Jira Agile environment with strong sense of responsibility and delivery.
Desire to learn and excel in career, willing to adopt and learn as per business needs.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
Identify, analyze, and interpret the requirements from Business as an architectural process, and data modelling.
Good working knowledge of SQL queries, python, and JSON.
Consult with business users, clients, technical stakeholders to identify, assess, and solve complex business problems
Excellent problem-solving and analytical skills.

Nice to have:
Design and build solutions for data warehouse.
Experience with Azure.
Experience with Python.
Experience in Asset Management.
Working with greenfield projects.

Sounds like you? To apply you need to be:
Experience Education
Bachelor’s or master’s degree in an Computer Science, Data Science, Engineering or a related field.
5+ years of technical experience in Power BI / DAX, Snowflake or SSMS.
Strong database knowledge and proven experience with data analysis.
Good understanding of Star and Snowflake schema and strong knowledge of SQL.
Good written and verbal skills, ability to communicate with technical and non-technical stakeholders.
Expertise in designing and building solutions for data warehouse working with large data sets.
Strong database knowledge and proven experience with data analysis and database design for operational, transactional systems.
Experience in building solutions using Python and experience in working with large data sets
Expertise in ETL and data warehouse concepts
Strong software engineering skills, preferably Python, Pyspark and SQL
Expertise in Azure, Databricks: hands-on experience in Python.
Experience in Agile methodologies
Good understanding of Star and Snowflake schema and good command on SQL queries and views.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. 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 offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.

About JLL –

We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
 
Ref #
2759086
Posted
30+ days ago
  •  
Last updated 30+ days ago


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