Data Engineer

at Jones Lang LaSalle in Chicago, Illinois, United States

Job Description

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.
Experience with Azure.
Nice to have:
Design and build solutions for data warehouse.
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.

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.