招聘
JLL empowers you to shape a brighter way.
Our people at JLL 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.
Data Steward
- Enterprise Data Governance
Data Governance and Stewardship
Enterprise Data Quality Center of Excellence (CoE) (Bangalore)
What this job involves:
About the role
#JLLTech Ambitions
We are seeking a Data Steward to join our technology Data & Information Management organization in Bangalore, India. This role is ideal for motivated professionals who thrive in diverse, fast-paced environments and are passionate about data quality and governance.
As a Data Steward, you will play a critical role in ensuring data integrity, quality, and accessibility across JLL's enterprise systems. You'll work with modern data platforms and tools to support our Master Data Management initiatives and drive data-driven decision making across the organization.
This position offers significant professional growth opportunities through exposure to cutting-edge Prop Tech technologies, advanced analytics platforms, and enterprise data governance frameworks.
Key Responsibilities
Data Quality & Stewardship
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Execute comprehensive data stewardship activities to enrich and validate company, property, and contact data using both proprietary platforms and external data sources
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Design and implement data quality rules, validation checks, and monitoring processes to ensure data accuracy and consistency
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Perform data profiling, cleansing, and standardization activities across multiple enterprise systems
Technical Data Management
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Develop and execute intermediate to advanced SQL queries for data extraction, transformation, and analysis
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Utilize Azure Databricks for large-scale data processing, quality assessments
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Create automated data quality monitoring and reporting solutions
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Support Master Data Management (MDM) and other enterprise-level data initiatives
Process Optimization & Collaboration
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Proactively identify opportunities to enhance data quality processes and implement efficiency improvements
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Collaborate with cross-functional teams to resolve data quality issues and ensure proper escalation procedures
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Provide ongoing technical support for data governance projects and initiatives
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Document data lineage, quality metrics, and stewardship procedures
Sounds like you? To apply you need to be:
Experience & Education
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Bachelor's degree in Information Science, Computer Science, Data Science, Mathematics, Statistics, or related quantitative discipline
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1-3 years of experience in data management, data analysis, or data stewardship roles
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Demonstrated experience working with large datasets and data quality initiatives
Technical Skills & Competencies
Required Technical Skills:
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Intermediate SQL proficiency - ability to write complex queries, joins, subqueries, and data manipulation statements
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Azure Databricks experience - querying capabilities, understanding of notebook environments, and basic cluster management
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Advanced Microsoft Excel skills including pivot tables, VLOOKUP, and data analysis functions
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Experience with data quality tools and methodologies
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Familiarity with database concepts and data modeling principles
Preferred Technical Skills:
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Python programming experience - particularly for data manipulation, analysis, and automation (pandas, numpy, data cleaning libraries)
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Experience with cloud-based data platforms (Azure ecosystem preferred)
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Knowledge of data governance frameworks and best practices
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Exposure to business intelligence and reporting tools (Power BI, Tableau, or similar)
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Understanding of API integration and data pipeline concepts
Core Competencies:
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Excellent analytical and problem-solving capabilities with strong attention to detail
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Outstanding technical documentation and communication skills
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Self-motivated team player with ability to work independently
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Strong organizational skills and capacity to manage multiple priorities simultaneously
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Adaptability to work with evolving technologies and changing business requirements
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Customer-focused mindset with ability to translate business needs into technical solutions
What we can do for you:
At JLL, we empower you to become your best professional self by providing opportunities to realize your full potential in an entrepreneurial and inclusive environment. If you're passionate about emerging data technologies and continuous learning, JLL offers platforms to expand your technical expertise in data governance, cloud analytics, and Prop Tech innovations.
We support your career ambitions through our comprehensive Total Rewards Program, competitive compensation, and benefits package. JLL's commitment to excellence is reflected in our recognition by the Ethisphere Institute as one of the World's Most Ethical Companies.
Apply today and join us in shaping the future of data-driven real estate!
Location:
On-site –Bengaluru, KA
Scheduled Weekly Hours:
40
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang La Salle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang La Salle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
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About JLL

JLL
PublicJLL is a global commercial real estate services company providing property management, investment management, and advisory services. The company serves corporate clients, investors, and property owners across various real estate markets worldwide.
10,001+
Employees
Chicago
Headquarters
Reviews
3.2
10 reviews
Work Life Balance
2.5
Compensation
2.8
Culture
3.2
Career
3.5
Management
2.3
35%
Recommend to a Friend
Pros
Good coworkers and supportive team members
Learning opportunities and skill development
Supportive management (when present)
Cons
Poor management treatment and unprofessional behavior
Low pay relative to workload
Frequent layoffs and job instability
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$120,000
total / year
Base
$120,000
Stock
-
Bonus
-
$102,000
$138,000
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 14%
Neutral 43%
Negative 43%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Case Study/Technical Assessment
5
Final Interview/Presentation
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Real Estate/Industry Specific
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