Data Engineer 2

JLL Technologies • Other US Location

Company

JLL Technologies

Location

Other US Location

Type

Full Time

Job Description

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

JLL Technologies COE

What this job involves:

About the role

#JLLTechAmbitions

 JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey! 

We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for 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 the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. 

Key Responsibilities:

As a Data Engineer, you will be responsible for:

  • 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 

  • Interact 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 tools, Finance, HR etc 

  • Unify, enrich, and analyze variety of data to derive insights and opportunities 

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

  • Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org 

Sounds like you? To apply you need to be: 

 

Experience and Education:

In order to achieve the key objectives of role, you will need the following skills and experience

  • 6+ years’ overall work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 

  • Experience with building Cloud Native Analytics applications and services

  • Experience with event-driven architectures and technologies such as Apache Kafka and Azure Event Hubs.

  • Experience securing applications using authentication standards such as OAuth 2.0, OpenID Connect, JSON Web Token, and SAML 2.0.

  • Hands-on engineer 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. 

  • 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. 

  • Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities 

  • Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity 

  • Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application 

  • 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 

  • 5+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools 

  • Independent and able to manage, prioritize & lead workload 

Technical Skills & Competencies

  • Expertise with Java server-side development using Spring Projects specifically through usage of microservices

  • Expertise in data structures and algorithms.

  • Experience in building large scale distributed systems and knowledge of enterprise architecture patterns. Knowledge of distributed system concepts such as Leadership, Consensus, Replication and Partitioning

  • Expertise in Spring Projects such as Spring Data, Spring Streams, Spring integration, Spring for Apache Kafka and Spring Security

  • Knowledge of schema definition such as AVRO, Thrift, Protocol Buffers and Parquet

  • Experience building test automation for data loading, performance and API validation through tools such as JMeter, Apigee, SoapUI, etc.

  • Experience with any SQL databases such as SQL Server, Oracle RDBMS, MySQL etc.

  • Experience in build automation tools such as Gradle, Jenkins, Docker Images and Artifactory.

  • Experience with Cloud resources such as Azure Event Hubs and Azure Cache for Redis.

  • Experience in writing high performance production ready code.

  • Azure infrastructure - Databricks and Azure Functions

  • Python libraries such as NumPy, SciPy, Pandas, etc

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour a 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. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.

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

Date Posted

09/22/2024

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