Live Payments ★ 4.0

• Collecting data from various sources. Streamlining data collection methods to create automated and easy-to-use routines.
• Analyse collected data and put it into a format others can easily interpret.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Design, develop and maintain ETL solutions for the data warehouse.
• Design, develop and maintain business reports for other departments.
• Design and write queries to extract data for ad hoc requests from other departments.
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
• Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and AWS 'big data' technologies.

Key skills

• Advanced SQL proficiency, design database schema tables, stored procedures, views, functions, triggers, and indices to meet the application performance requirement.
• Strong SQL or Excel skills, good experience in reporting tools such as MS Reporting Services, Crystal Reports
• Expertise in data architecture, including data modelling, database design and development, data mining, and segmentation techniques.
• Familiar with Star/Snowflake schema, dimensional modelling
• Experience in building robust data pipelines and ETL processes, preferably using AWS technologies such as Glue, Lambda, S3, Redshift, Athena, MSK/Kafka, Kinesis, Streaming Glue, AWS Database Migration Service, and Step Functions.
• Strong knowledge of business intelligence (BI) platforms, with experience developing, maintaining, and enhancing BI dashboards and reports that deliver actionable insights to support data-driven decision-making.
• High-level experience managing large-scale databases, including designing and optimising data flows and storage solutions.
• Proven ability to work with large datasets and relational database systems, ensuring data integrity and performance.

Nicw-to-have skills

• IELTS 6.0 or equivalent would be beneficial.
• Experience working in the payments and financial services industries.
• 3-4 years of data analysis experience.
• Familiar with Python and No SQL technologies such as Cassandra, DynamoDB.
• Familiar with Datalake or Datamesh architecture.

• Social insurance contributions based on full salary, in accordance with Vietnam Labor Law.
• Full salary during probation period
• 13th month salary & performance bonus
• Generous leave: 14 annual leave days, 5 sick leave days, 3 conference leave days, and 1 birthday leave day per year
• Biannual performance reviews to support your career growth
• Annual health check-ups & vaccinations
• Premium health insurance (covering spouse & children)
• Personal learning & career development allowance (15.6 million VND/year)
• Comprehensive health scheme (6.2 million VND/year)
• Company laptop provided
• Free parking, coffee, snacks, and more
• Clear and attractive career path opportunities
• Regular team dinners & team building activities
• International, dynamic & friendly working environment

• Social insurance contributions based on full salary, in accordance with Vietnam Labor Law.
• Full salary during probation period
• 13th month salary & performance bonus
• Generous leave: 14 annual leave days, 5 sick leave days, 3 conference leave days, and 1 birthday leave day per year
• Biannual performance reviews to support your career growth
• Annual health check-ups & vaccinations
• Premium health insurance (covering spouse & children)
• Personal learning & career development allowance (15.6 million VND/year)
• Comprehensive health scheme (6.2 million VND/year)
• Company laptop provided
• Free parking, coffee, snacks, and more
• Clear and attractive career path opportunities
• Regular team dinners & team building activities
• International, dynamic & friendly working environment