Data Engineer

• Company JLL
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Key Responsibilities

• Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
• 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 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
   

Requirement & Qualification

• Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Master is a plus.
• 2 to 5 years experiences on Cloud Computing (Aliyun, Azure), DataBricks, Micro Services, Streaming Technologies, Network, Security, etc.
• 2 to 5 years experiences on development experience using SQL, Python-spark, Spark Streaming, MySQL/SQL Server, Cosmos DB/Mongo DB.
• 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
• Independent and able to manage, prioritize & lead workload
• Fluent in English, Mandarin.