Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Purpose / Mục tiêu vị trí

This role is accountable for the end‑to‑end design and implementation of scalable data ingestion, integration, and processing systems, consolidating structured and unstructured data from multiple sources into a unified data platform and delivering high‑quality datasets to support data science and advanced analytics

• Scope 1: Ingests, transforms and blends/integrates structured and unstructured data and delivers the data to an MDM, data warehouse and/or data lake
• Scope 2: Includes both technical processes and business logic to transform data from disparate sources into cohesive meaningful data with quality, governance and compliance considerations
• Scope 3:  Combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data from a variety of sources
• Scope 4: Designers, builders and managers of the information and big data infrastructure. They co-develop the architecture that helps analyze and process data that the organization required and further optimize those systems to perform smoothly
• Scope 5: Prepares the data for the data scientist exploration and discovery process.  For example, we have data containing 30 attributes where two attributes are used to compute another attribute (for example, an index), and that computed feature is used for further analysis. In this way, the data could be changed according to the requirement of the applied model
• Scope 6: Evaluates, compares and improves the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches
• Other tasks may be assigned by the line manager.

Job Requirements / Yêu cầu

Qualifications / Bằng cấp

· University degree in Information Technology

Tốt nghiệp đại học chuyên ngành công nghệ thông tin chuyên sâu về phần mềm, giải pháp CNTT

Knowledge and skill / Kiến thức và kỹ năng

· At least 5 years in software field and experience in designing, developing and/or supporting in foreign companies/ software

company

Có it nhất 5 năm kinh nghiệm trong lĩnh vực phát triển phần mềm cho các công ty

· Experience 5 year in using following database: SQL Server, Oracle, MySQL, NoSQL (Couchbase, MongoDB, Oracle

NoSQL)..

Có kinh nghiêm trên 5 năm với các cở sở dữ liệu cấu trúc và không cấu trúc: SQL Server, Oracle, MySQL, Couchbase..

· Experience using following programming language / platform / technology / application services, Web application: ASP.NET,

IIS, Java, JBoss, C#, VB.Net, SQL/T-SQL, JavaScript/DHTML, VBScript, HTML, XML, ETL, CDC…

Có kinh nghiệm vơi công nghệ và nên tảng ASP.NET, IIS, Java, JBoss, C#, VB.Net, SQL/T-SQL, JavaScript/DHTML,

VBScript, HTML, XML, ETL, CDC

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.