Prudential Vietnam Assurance

Overview of job

All of the below will be done in Azure Platform:

• Create and maintain optimal data pipeline architecture
• Research and design the data architecture and implement the automated data processing pipeline to ETL, integrate and evaluate large datasets (structured/unstructured data & business data) from disparate sources and implement complex business logics
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Design, implement and monitor the data quality control system to ensure data completeness and quality.

Revamp & document logical data model, data rules & data dictionary 

Why Should You Apply?
- Attractive salary
- Beneficial package including: Yoga class, health talk, mental counseling, pension plan, life insurance & financial supports
- Open environment and clear career road map
- 20 days of annual leave

Qualifications / Bằng cấp

• We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Experience/ Kinh nghiệm

• 3+ years of experience in Data Engineer/ Data Architect/ Data Warehousing

Knowledge and skill / Kiến thức và kỹ năng

• Experience with data lake, data warehouse, data architect, data governance, data security, data quality & Cloud environment
• Experience in designing and building dimensional data models, ETL processes, data warehouse concepts and methodologies.
• Experience in monitoring complex system, solving data and systems issues having a consistent and algorithmic approach to resolving them.
• Experience but not limited to: Java / Python / Scala, …
• Good knowledge of DBMS & SQL Queries. 
• Good knowledge of operating system, especially Linux. 
• Understanding about OOP, OOAD, functional programming, design pattern. 
• Having knowledge & experience of Hadoop Ecosystem (Spark, Hadoop,...) and cloud data platform (Azure, AWS,...) is a plus
• Having knowledge & experience about SSIS, SAS is a plus
• Having knowledge & experience about Machine Learning and MLops is a plus