DATA ENGINEER

Requirements

• 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. Interested parties please apply with full resume, present and expected salary, available date by clicking "Apply Now".

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.