DATA ENGINEER
Summary
Data engineer who designs, builds, and maintains research and customer-analytics databases from multi-source data (survey, voice/audio, social media), cleanses and standardizes datasets, documents data structures and workflows, and automates reporting/dashboards using Python, SQL, Excel, and AI tools.
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
Responsibilities
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 practices
Perform ad-hoc tasks and other related projects as assigned to align business needs
(Candidates with more experience will be considered for a senior position.)
Good remuneration and attractive fringe benefits will be offered to the successful applicant.
We are an equal opportunity employer and welcome applications from all qualified candidates. All personal data collected will be used for recruitment purpose only. Applicants not hearing from us within 3 months may consider their applications unsuccessful. All personal data collected will be destroyed within 24 months.