Senior Data Engineer
1 week ago
At Prudential plc, we're committed to being partners for every life and protectors for every future. Our purpose drives everything we do, creating a culture where diversity is celebrated and inclusion is assured. We provide a platform for our people to excel and make an impact, supporting their career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
As part of our Data Solution team, you'll play a key role in helping the business construct a scalable data platform. You'll extract valuable insights from big data sets and provide support for sophisticated analytics and machine learning.
Key Responsibilities:
- Design, execute, and optimize data pipelines on our Unified Data Platform.
- Create and manage reporting dashboards.
- Assist in transitioning from our legacy Data Warehouse Platform to the Unified Data Platform.
- Handle and administer data inquiries from business users.
- Support daily business operations on both the legacy Data Warehouse Platform and Unified Data Platform.
Requirements:
- A bachelor's degree in information technology, Computer Science/Data Engineering, or a related field.
- At least 2 years of experience as a data engineer or in a similar role.
- Proficiency in ETL/ELT, Data Management, and Data Engineering using SQL and Python.
- Practical experience with Azure cloud data services, including Azure Data Factory, Azure Databricks, Azure Data Lake, and Power BI.
- Experience with IBM DataStage, IBM Cognos, Qlik Sense, Data Robot is beneficial.
- Experience in a project involving data science or machine learning is advantageous.
- Fluency in both Cantonese and English.
- Strong communication skills to facilitate collaboration with a global team.
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