Data Engineer

任职要求
Bachelor’s degree or above, preferably in Computer Science, Information Systems, Business Analytics, Data Analytics, Data Science, Decision Science, or any related disciplines

4-5 years of experience in applying technical skills and programming, data engineering, databases, or BI/data processing, preferably in handling different types of data, survey data and customer analytics environments

Solid experience in handling data from multi-sources and in different forms, including data cleansing, structuring, standardization, standard setting, and quality checks etc.

High proficiency in Python, SQL, other relevant programming or scripting, and use of AI tools for database set-up, processing, data analytics and automation

Have skill in Excel (advanced functions), and knowledge of SPSS is an advantage

Experience in setting up and maintaining datasets, documentation, and writing workflow processes

Proven verbal and written English and Chinese proficiency, with good communication skills

Strong analytical, numerical, logic, and problem-solving skills, as well as business acumen

Self-motivated, responsible, independent, attention to details, organized, and positive work attitude

职责描述
Execute the design, set-up and maintain structured and unstructured research data and customer-centric analysis databases from various sources, including self-owned, research, voice/audio, social media data etc.

Work to establish and define database architecture, data structures, fields and groupings, cleansing rules, research data coding/grouping skeleton and execution programming, and workflow across survey datasets and integrate into unified, well-organized, and trusted databases

Automate data processing, templates, reports and dashboards and related by using programs or scripts

Clean, validate and standardize multi-sourced data to ensure quality, consistency, and completeness

Write and update data books, data structure, data field definitions, reporting template and framework, data handling and tasks procedures, data cleansing rules, workflow, and any guidelines needed

Provide technical support with contingency and usage guidance to team members for the best