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Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Roles & Responsibilities:
- Independently develops, executes and monitors complex data management/ data engineering / analytic processes to support ad hoc data and information delivery for assigned projects.
- Develops proficiency in multiple data management/engineering disciplines and tools to develop robust data and information management / engineering solutions.
- Proactively identifies opportunities to optimize the performance and efficiency of existing processes/procedures.
- Monitors data / information management / engineering processes to ensure data quality and consistency in support of business initiatives.
- Ensures proper escalation, prioritization and remediation of data quality issues.
- Engages with colleagues and internal customers to reverse engineer existing business processes and identify core business requirements for new information deliverables and data infrastructure.
- Articulates business requirements in sufficient detail such that a technical solution can be designed and engineered.
- Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL data.
- Contributes to the design and development of technical solutions to ensure that business requirements are satisfied.
- Identifies and acquires new data sources, performs data discovery to understand data values and relationships, and develops prototype solutions to deliver immediate business value.
Skills:
- Must have strong SQL skills. Knowledge of ETL and statistical tools such as Informatica, SSIS and other data science tools such as Python, R, Tableau are desirable
- Experience with data architecture, data integration/ETL, data warehousing, and/or business intelligence deployed in a complex environment.
- Understanding of data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
- Able to think logically, organize work flows efficiently, and solve problems independently.
- Reliable, self-motivated, and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast paced environment.
- Capability to self-learn new software applications and programming languages.
- Effective written and verbal communication skills, including technical writing.
- Excellent technical, analytical and organizational skills.
- Experience in data architecture, data integration/ETL, data warehousing, and business intelligence applications deployed in a complex environment.
- Expertise with tool such as SQL Server Management Studio, Python, Power BI and Tableau.
- Experience with Azure DevOps and cloud computing technologies like Azure or AWS
- Experience with Azure, Azure data lake, Azure functions, Azure DevOps, Data bricks, NoSQL is a big plus.
- Demonstrated knowledge of data modelling, database design and database administration.
- Experience working with a virtual team of multi-cultural data and information management / engineering professionals.
- Understanding of the fundamentals of software development lifecycle processes and procedures.
- Experience with data analysis, data extraction, data quality and enrichment.
Eligibility Criteria:
1)Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in Science, Business, or Social Science. Advanced degree preferred.
Location: Bangalore