Data Engineer Sign-on Bonus
Mô tả công việc
Mô tả công việc
Design, develop and maintain business reports for other departments.
Design, develop and maintain ETL solutions for the data warehouse.
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.
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.
Supporting the data warehouse in identifying and revising reporting requirements.
Analyse collected data and put it into a format others can easily interpret.
Collecting data from various sources. Streamlining data collection methods to create automated and easy- to- use routines.
Yêu cầu công việc
Yêu cầu công việc
Key skillsFamiliar with Star/Snowflake schema, dimensional modelling
Advanced SQL proficiency, design database schema tables, stored procedures, views, functions, triggers, and indices to meet the application performance requirement.
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.
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 SQL or Excel skills, good experience in reporting tools such as MS Reporting Services, Crystal Reports
Proven ability to work with large datasets and relational database systems, ensuring data integrity and performance.
Expertise in data architecture, including data modelling, database design and development, data mining, and segmentation techniques.
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 Datalake or Datamesh architecture.
Familiar with Python and No SQL technologies such as Cassandra, DynamoDB.
Quyền lợi
Tại sao bạn sẽ yêu thích làm việc tại đây
Comprehensive health scheme (6.2 million VND/year)
Regular team dinners & team building activities
Personal learning & career development allowance (15.6 million VND/year)
Full salary during probation period
Generous leave: 14 annual leave days, 5 sick leave days, 3 conference leave days, and 1 birthday leave day per year
13th month salary & performance bonus
Premium health insurance (covering spouse & children)
Annual health check- ups & vaccinations
Company laptop provided
Biannual performance reviews to support your career growth
Free parking, coffee, snacks, and more
Social insurance contributions based on full salary, in accordance with Vietnam Labor Law.
Clear and attractive career path opportunities
International, dynamic & friendly working environment
Cập nhật gần nhất lúc: 2025-11-13 11:05:03














