• Collect data from many sources to create Data Lake/ DWH, optimal data pipeline architecture and suggest for relevant internal process improvements if needed
• Build the infrastructure required for optimal ETL process from a wide variety of data sources & re-design infrastructure for greater scalability
• Collaborate and understand the requirements from Data Analyst/ Business Users and turn into technical insight.
• Design/ customize data marts for different stakeholders including the Data Analyst, Product, BA & Operation teams.
• Build analytics tools to provide actionable insights in Business performance (E-commerce & Fintech), Product analysis (Mobile applications) & advanced analyses as Credit Score, Fraud Detection and Recommendation System
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Maintain data system & design data backup solution
• Provide solution to maintain and enhance Data Warehouse in long term
• Research new technologies/ methodologies which can be applied to improve business performance and optimize costs.

Requirements:

• Experience in building data models/ ETL pipeline/ data warehouse
• Experience with one in big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL/ NoSQL databases
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc. is plus
• Having knowledge in the fintech market, GT distribution, online payment is plus
• Experience in Microsoft BI technologies and reporting solutions using Power BI/ PowerApps/ Microsoft Flow and other cloud-based solutions is plus

• Lunch allowance and parking free
• 13th month salary, project bonus, gifts (New Year, birthday, 8/3, 20/10..)
• Team building, company trip
• Insurance after 2 months of probation, PVI insurance for some levels
• Training in work and fast-track your career path
• Working in a friendly and professional environment