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Data Engineer (Kỹ sư Dữ liệu)

2-4 Years
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Job Description

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.

- Responsible for building and optimizing data pipeline and data storage architecture to facilitate optimal functioning of the data analysis modules within the cloud infrastructure
Chu trch nhim xy dng v ti u ha ng ng d liu v kin trc lu tr d liu to iu kin cho cc m-un phn tch d liu hot ng ti u trong c s h tng m my
- Performing analysis to assess quality and meaning of data
Thc hin phn tch nh gi cht lng v ngha ca d liu
- Enabling advanced analytics capabilities that provide meaningful business value through easy-to-understand data visualizations.
Kch hot kh nng phn tch nng cao mang li gi tr kinh doanh c ngha thng qua hnh nh ha d liu d hiu.

Job Responsibilities:

  • Assembling large, complex sets of data that meet non-functional and functional business requirements.

  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.

  • Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

  • Integrate data with Salesforce (CEP, CRM etc..) to enable segmentation and campaign execution

  • Build, manage, and optimize customer segments in Salesforce CEP based on behavior, demographics, and multi-source data.

  • Ensure data readiness for creating data segments in CEP

  • Implement validation, cleansing, and enrichment processes

  • Ensure compliance with data governance, privacy, and security standards (GDPR, CCPA).

Job Requirements:

  • University degree in Computer Science, Engineering and/or a technically oriented field

  • 2 years of experience with Flink/Spark, Databricks

  • 2 years of experience with Azure (DP200 and/or DP201, DP203 certification acts as a plus)

  • Hands-on experience with Salesforce Data Cloud and CEP segmentation

  • Understanding of customer segmentation, personalization, and marketing automation.

  • Good knowledge of SQL and excellent coding skills

  • Self-Development, communication, problem-Solving Skills.

  • Open-minded, multi-tasking, teamwork, flexible and interest to learn new things

  • English communication

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.

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Job ID: 139127439