Data Engineer (Database,Data warehouses)

We are a next-generation loyalty, marketing and payment platform that connects market-leading brands with consumers through a simple-to-use, fully integrated and data-driven coalition loyalty program. Our solution enables consumers to earn and burn loyalty points conveniently by interacting and transacting with the brands of their choices across nation-wide merchant network that today reaches 30% of the Vietnamese consumers.

Our goal is to revolutionize the omni-channel shopping experience in Vietnam and set the standards for how brands should engage their customers by leveraging data to drive consumer insights, marketing efficiency and product personalization. We also offer technology solution to help established businesses enhance their existing loyalty programs with access to a broad, diversified portfolio of brands and rewards.

TAPTAP is a trademark of VUI Vietnam, which is a Joint Venture company that is owned by Vietnam Investments Group (VIG) and United Overseas Bank Limited (UOB). VIG is a leading private equity firm in Vietnam with total funds under management of over USD 500 million and with stakes in over 35 brands in the market. UOB is a leading bank in Asia, headquartered in Singapore, with a global network of over 500 offices including Vietnam.

What you will be responsible for:

• Assemble large, complex data sets from existing sources (extensive CRM, loyalty app, payment, etc.)
• Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources.
• Plan, create, coordinate, and deploy data warehouses.
• Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse.
• Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required.
• Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Develop reporting dashboards to support brands in tracking business metrics effectively.

• A degree or higher in Computer Science, Software Engineering, Information Technology or other related technical disciplines.
• At least 2 years of experience in handling large data sets (multiple TBs) and working with structured, unstructured and geographical datasets.
• Deep understanding of databases and best engineering practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale with or endorsement by the company. All specifications are subject to change without notice. up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline.
• Excellent communication skills.
• Entrepreneurial mindset with a high tolerance for ambiguity and just-do-it attitude.