[Our Role - Data Engineer/AI Trainer]
- Provide Business Intelligence Solutions: Develop and maintain good quality/performance data pipelines, interfaces, and reports for cloud BI platforms (Databricks/RedShift/BigQuery) to meet business requests and data inquiries.
- Support Decision-Making: Gain expertise in consumer product domain knowledge and regional business context. Collaborate with business teams to define key metrics and analyze data to achieve business objectives.
- Data Evangelist: Understand potential business needs and provide data analysis suggestion. Simultaneously, educate and guide business stakeholders on the correct utilization of data to support business decision-making.
- AI Trainer for Productivity: Developing, optimizing, and deploying AI models to enhance internal productivity by leveraging data and machine learning techniques.
- AI Trainer for Opportunity: Develop, optimize, and deploy AI models to solve business problems and seize opportunities by using data and machine learning techniques
[Qualifications / Requirements]
Essential
- BS/MS in Computer Science or Information Engineering related
- 3+ years experience in cloud service or data engineering development
- Strong experience with RDBMS and solid SQL(MSSQL) programming/performance optimization skill
- Strong communication, problem solving and analytical skills
- Experience in data preprocess/issue tracing/analysis
- Experience with LLM optimization skills (Prompt Engineering, RAG, Model tuning)
- Familiar with python data processing tools (pandas, pyspark, polars, numpy)
- Ability to work in a fast-paced, creative and collaborative environment
- Passion for the new technology applied to job quality or performance improvement
- Moderate English reading/writing skills
Big Plus
- Experience with data store, ETL and analysis relate PaaS/SaaS services in Databricks (or AWS)
- Experience in data visualization tools like Tableau (or Power BI)
- Experience in Python
- Solid understanding of machine learning algorithms and natural language processing (NLP) techniques, also has the ability to apply domain knowledge to AI model development and problem-solving
- Experience in GitHub Action or other CI / CD services
