AI & Data Engineer – BIC (Business Intelligence Center)

AI & Advanced Analytics Enablement

• Develop and support AI/ML and Generative AI use cases (e.g., pricing, promotion, automation).

• Build and manage data pipelines for AI/LLM training and inference.

• Partner with Data Science teams to productionize models.

• Identify opportunities to embed AI into business workflows and decision-making.

Data Platform & Engineering Leadership Team

• Own end-to-end data architecture from data source to data warehouse/lakehouse.

• Design and build scalable ETL/ELT pipelines (batch & near real-time).

• Ensure data reliability, quality, and governance (data dictionary, lineage, standards).

• Optimize database design for performance, scalability, and cost efficiency.

• Analyze problem and find resolution, as well as work closely with team to monitor performance and

• advise any necessary infrastructure changes.

• Develop big data solutions for batch processing and near real-time streaming.

• Select and integrate appropriate tools and frameworks required to provide requested capabilities.

• Keep abreast of new developments in the big data ecosystem and learn new technologies.

Leadership & Capability Building

• Manage and mentor data engineers, ML engineers, and analysts.

• Build a high-performance, scalable data.

• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.

• Define best practices for coding, deployment, and documentation.

• Ability to effectively work independently and handle multiple priorities.

• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology,

• Management Information System or an IT related field.

• 6+ 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.

• Proven record in AI product development.

• 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.