UNIVERSAL SCIENTIFIC INDUSTRIAL

As an Analytics Engineer supporting the Data Enablement stream within ANZ Plus, your mission is to design and build the data products required to support operational pipelines as well as reporting, data science and analytics initiatives to drive business decision-making and innovative customer outcomes for the program.
Your key accountability will be to build and maintain data products in our data mesh through engineering best practices using DBT, Python and BigQuery.
Understand user stories supporting a wide array of use cases such as reporting in Tableau, data science or analytics activities, or indeed operational data flows for decisioning and campaign tools
Design physical data structures in Google Big Query to optimize efficiency, scalability and consistency in a repeatable manner
Catalogue and document metadata on available data sources and communicate rationale for modelling decisions made
Work closely with the team to ensure data models align with stakeholder expectations and practical engineering patterns in DBT and Terraform
Profile incoming source data (batch and real-time event) to deeply understand data, contribute to data integration specifications and help to build robust and future-proof models
Participate in the continuous improvement of data assets and governance processes to enable customers to easily access the data they needBachelor's degree in Computer Science or equivalent.
At least 3 years of technical experience with Data Analysis/ Analytics Engineer or equivalent
Excellent English communication skills
Excellent SQL, data analysis and data profiling skills
Proven success designing and/or building BI/DW or ETL solutions, especially using data transformation tools such as DBT or Dataform
Demonstrated experience with data pipeline orchestration and/or configuration as code
Exposure to data in cloud-native environments
An appreciation for difficult problems and to work autonomously on complex tasks
The Analytics Engineer role is a midpoint between Data Analyst and Data Engineer; you need to 'care' about the data itself, not just the pipelines, but also be comfortable with engineering practices such as source control, tagging, CI/CD and automated testing using Python.Salary: Completely feel free to tell us your expected number!!!
18 paid leaves/year (12 annual leaves and 6 personal leaves)
Insurance plan based on full salary + 13th month salary + Performance bonus
Meal allowance of 730,000 VND/month
100% full salary and benefits as an official employee from the 1st day of working
Medical benefit for employee and family
Working in a fast-paced, flexible, and multinational working environment.
Chance to travel onsite (in 49 countries)
Free snacks, refreshment, and parking
Internal training (Technical & Functional & English)
Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries
Friendly environment with flexible working hours, hybrid mode.