AI & Data Engineer – BIC (Business Intelligence Center)
Responsibilities
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.
Qualifications
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.