Data Engineer (Kỹ sư Dữ liệu)

Posted 3 Days Ago
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Thành Phố Hồ Chí Minh, Hồ Chí Minh, VNM
In-Office
Mid level
Financial Services
The Role
Build and optimize large-scale data pipelines and analytical tools, deliver actionable business insights, automate manual processes, improve infrastructure scalability, and collaborate with business units on long-term data platform architecture. The role requires experience with Flink or Spark, Databricks, Azure, big data technologies, SQL, Python, machine learning and deep learning tools.
Summary Generated by Built In

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 Responsibilities:

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

Tập hợp các bộ dữ liệu lớn, phức tạp đáp ứng các yêu cầu nghiệp vụ phi chức năng và chức năng

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

Xây dựng các công cụ phân tích để sử dụng hệ thống dữ liệu, cung cấp thông tin chi tiết hữu ích về các chỉ số hoạt động kinh doanh chính bao gồm hiệu quả hoạt động và thu hút khách hàng

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

Xác định, thiết kế và thực hiện các cải tiến quy trình nội bộ bao gồm thiết kế lại cơ sở hạ tầng để có khả năng mở rộng cao hơn, tối ưu hóa việc phân phối dữ liệu và tự động hóa các quy trình thủ công

  • Works closely with all business units to develop strategy for long term data platform architecture.

Làm việc chặt chẽ với tất cả các đơn vị kinh doanh để phát triển chiến lược kiến trúc nền tảng dữ liệu lâu dài.

Job Requirements:

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

Bằng đại học về Khoa học máy tính, Kỹ thuật và / hoặc lĩnh vực định hướng kỹ thuật

  • 3 years of experience with Flink/Spark, Databricks

03 năm kinh nghiệm với Flink/Spark, Databricks

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

03 năm kinh nghiệm với Azure (có chứng chỉ DP200 and/or DP201, DP203 là lợi thế)

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

Đam mê công nghệ & ứng dụng máy học phân tích và ham học hỏi

  • English communication

Tiếng Anh giao tiếp

  • Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce

Kiến thức về công nghệ Dữ liệu lớn, chẳng hạn như Spark, Hadoop / MapReduce

  • Knowledge of Azure services like Storage Account, Azure DataBricks etc.

Có kiến thức các dịch vụ Azure như Storage Account, Databricks

  • Good knowledge of SQL and excellent coding skills

Kiến thức tốt về SQL và kỹ năng viết mã xuất sắc

  • Working knowledge of various ML/DL applications such as Keras, Tensorflow, Python scikit learn and R

Kiến thức làm việc về các ứng dụng ML / DL khác nhau như Keras, Tensorflow, Python scikit learning và R

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

Kỹ năng Phát triển bản thân, giao tiếp, giải quyết Vấn đề.

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

        Tư duy cởi mở, đa nhiệm, làm việc theo nhóm, linh hoạt và thích học hỏi những điều mới

 

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.

Skills Required

  • University degree in Computer Science, Engineering, or another technically oriented field
  • Three years of experience with Flink or Spark and Databricks
  • Three years of experience with Microsoft Azure
  • DP200, DP201, or DP203 certification
  • Knowledge of big data technologies such as Spark and Hadoop/MapReduce
  • Knowledge of Azure services including Storage Account and Databricks
  • Strong SQL knowledge and excellent coding skills
  • Working knowledge of machine learning and deep learning applications including Keras, TensorFlow, scikit-learn, and R
  • English communication skills
  • Self-development, communication, and problem-solving skills
  • Open-mindedness, multitasking, teamwork, flexibility, and willingness to learn
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The Company
HQ: London
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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