Live Payments

81 Cao Thang, Ward 3, TP Hồ Chí Minh

Company Size : 25-99

Job Summary

Live Payments

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.

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

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

- English
- Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate