Senior Data Engineer (Kỹ sư Dữ liệu Cấp cao)

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
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure, constructing
data architectures for greater scalability, optimizing data delivery, and automating manual processes - Work closely with the stakeholders to define the business problem, scope, and criteria, and to validate and interpret the data
mining outcomes. - Collaborate with data analysts and scientists to make data easily accessible and usable for insights and analytics.

Job Responsibilities / Phạm vi công việc

- Ingest, transform and blend/integrate structured and unstructured data and deliver the data to MDM, data warehouse, Data Mart and/or Datalake

- Include both technical processes and business logic to transform data from disparate sources into cohesive meaningful data with quality, governance and compliance considerations

- Use the technical and business processes to combine data from disparate sources into meaningful and valuable information

- Design, build and manage the information and big data infrastructure that helps analyze and process data that the organization requires & optimize systems to perform smoothly

- Prepare the data for the data scientist’s exploration and discovery process - Evaluate, compare and improve the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approach.

Job Accountability / Trách nhiệm chính

- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Oversee the resolution of architecture challenges and ensure data quality and integrity.

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

- Works closely with all business units to develop strategy for long term data platform architecture. - Stay current on industry trends and technologies to drive innovation and continuous improvement.

Job Requirements / Yêu cầu Qualifications / Bằng cấp

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

- Over 05 years of experience with Flink/Spark, Databricks

- Over 05 years of experience with Azure (DP200 and/or DP201, DP203 certification acts as a plus)

- 03+ years’ experience mining data as a data analyst

- 3+ years’ using programming languages such as Java, DAX, MDX, SQL, Python

- 03+ years of experience with PowerBI, Tableau or Qlik - 03+ years’ experience in the life insurance domain is required.

- Passionate about analytics machine learning technology & applications and eager to learn.

- English communication Knowledge and skill / Kiến thức và kỹ năng

- Good knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce

- Good knowledge of Azure services like Storage Account, Azure DataBricks etc.

- Good knowledge of SQL and excellent coding skills.

- Strong knowledge of data modeling and data mining.

- Self-Development, communication, problem-Solving Skills. - Open-minded, multi-tasking, teamwork, flexible and interest to learn new things.

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.