Department Manager, AI - Data Engineer

Lotus's (Bueng Kum)

Bueng Kum

Bangkok, Thailand

At Lotus's, we get up every morning and questioned ourselves daily on how we can serve our customers better. Lotus’s is an omni-channel retailer in Thailand, with a commitment to providing great quality products at affordable prices, while doing good things for our customers, colleagues, and communities. We serve customers through our network of more than 2,000 stores nationwide and online platforms, with more than 10.8 transactions made per week. We strive to cater to the ever-changing lifestyles of our customers, with a goal to deliver convenience and a seamless shopping experience anywhere anytime.

About this position

The Department Manager, AI - Data Engineer is responsible for developing and maintaining data pipelines, conducting meetings to understand data requirements, and collaborating with various stakeholders to ensure effective data management and analysis.

Responsibilities

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance
• Maintain data dictionary, relationship and its interpretation
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
• Develop big data solutions for batch processing and near real-time streaming
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse
• Select and integrate appropriate tools and frameworks required to provide requested capabilities
• Design and develop BI solutions
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems
• Keep abreast of new developments in the big data ecosystem and learn new technologies
• Ability to effectively work independently and handle multiple priorities

Requirements

• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable)
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick
• Experience in Python is a must
• Experience in Generative AI is a must
• Knowledge in machine/statistical learning, data mining is a plus
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.