JLL is hiring for freshers as Data Engineer 1
- Company Name
- JLL
- Company Website
- http://jll.com
- Experience
- 1 year
- Job Role
- Data Engineer 1
- Job Type
-
- Fresher
- Job Location
-
- Bengaluru/Bangalore
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
Eligibility Criteria
- Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
- Minimum of 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.
Job Description
- 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
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