Data Engineer - 2

IND-CORP Bengaluru-TDIM - PTT

JLL

JLL ist bestens mit dem Immobilienmarkt vertraut & bietet sachkundige Beratung. Kontaktieren Sie uns bei allen Angelegenheiten rund um Gewerbeimmobilien.

View all jobs at JLL

Apply now Apply later

JLL empowers you to shape a brighter way.  

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.   

Data Engineer - 2

Data Engineering

JLL/Technologies Centre of Expertise (JLLT CoE) (Bangalore) 

What this job involves: 

About the role 

#JLLTechAmbitions 

The JLL Digital Products team aims to bring successful technology-based products to market in a high-growth environment. The team’s mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. The Data Engineer is a key position on the Digital Products team, responsible for defining the key framework and implementing various components for JLL’s Products

 
Responsibilities 

This is an individual contributor role that is responsible for the 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 both the regional IT teams as well as the other global engineering teams. 

  • Contribute to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture 

  • 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 

  • Interfaces 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, Finance, HR, MDM, ODS, Data Lake, & EDW 

  • Develop data solutions that enable non-technical staff to make data-driven decisions 

  • 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 solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform 

Sounds like you? To apply you need to be: 

Experience & Education 

  • Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 

  • Hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.

Technical Skills & Competencies 

  • 5+ years of experience as a data developer using Python-spark, Databricks, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.

  • Hands-on experience on Cube.js for building the Semantic Layer for the data platform is a plus. 

  • Hands-on experience of building Data Pipelines in Cloud and well versed with CICD and DevOps process. 

  • Experience of handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues 

  • Experience building and maintaining a data warehouse/ data lake in a production environment with efficient ETL design, implementation, and maintenance 

  • Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams 

What we can do for you: 

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package.

Apply today! 

Location:

On-site –Bengaluru, KA

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!

JLL Privacy Notice

Jones Lang LaSalle (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 and Affirmative Action policy here.

Jones Lang LaSalle (“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 contact us at Accommodation Requests. 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.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Computer Science Databricks Data management Data pipelines Data warehouse DevOps Engineering ETL Finance Mathematics Pipelines Privacy Python RDBMS Security Spark Statistics Streaming Unstructured data

Perks/benefits: Career development Competitive pay Team events

Region: Asia/Pacific
Country: India

More jobs like this