JLL Technologies off campus recruitment

2022-06-16 Click here to join our placement whatsapp group

As a Data Engineer at JLL Technologies, you will:

• Contributes 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 & API 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

• Design and develop data lake and API 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:

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

Minimum of 0 - 1 years of experience as a data and API developer using Python/Nodejs, Azure Functions, Cosmos DB, Azure Event Hubs, Azure Data Lake Storage, Azure Storage Queues etc.

Excellent technical, analytical and organizational skills.

Effective written and verbal communication skills, including technical writing.

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.

Hands on experience with event processing and pub-sub consumption patterns

Good knowledge and exposure to Data Models, Databases like SQL Server, NoSQL Databases, Elastic Search, API management, etc.

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

Working experience with standard API development protocols, API gateway and tokens

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

Click here to Apply

Click here to join whatsapp group

Click here to join Telegram channel

Share This content :