Data Engineering Manager
4 weeks ago
At Prudential plc, we are committed to being partners for every life and protectors for every future. Our purpose drives everything we do, from creating a culture of diversity and inclusion to providing opportunities for career growth and development.
This role is a key part of our Data Solutions team, where you will play a pivotal role in establishing a robust data platform that enables scalable growth. Your expertise in extracting insights from extensive data, conducting advanced analytics, and implementing machine learning will be invaluable in driving business success.
Job Accountabilities:- Data Pipeline Development: Develop and oversee data pipelines in a cutting-edge, cloud-oriented environment, ensuring seamless integration with our existing systems.
- Data Schema Interpretation: Understand and interpret the data schema of current data sources, identifying areas for improvement and optimization.
- Streamlined Data Schema: Design a streamlined data schema for the Data Platform, ensuring swift and effective data query and retrieval for analytical purposes.
- Automation and CI/CD: Automate processes and establish CI/CD delivery pipelines, reducing manual errors and increasing efficiency.
- Data Collection and Processing: Streamline the collection and processing of data on the data pipeline, ensuring high-quality and accurate data.
- Daily Operational Support: Provide daily operational support for the Data Platform, resolving issues and ensuring system uptime.
- Cloud Migration: Transition the current Data Warehouse platform to a more efficient cloud-based Data Platform, leveraging the latest technologies and best practices.
To succeed in this role, you will need:
- A Bachelor's Degree in Information Technology, Computer Science / Engineering, or a related discipline.
- At least 5 years of relevant experience in data engineering or a similar role.
- Hands-on experience with Azure cloud data services, including Azure Data Factory, Azure SQL Server, Azure Synapse, Azure Databricks, and Power BI.
- Demonstrated experience in executing ETL/ELT, data streaming for data analytics, tools like PySpark, Kafka.
- Deep understanding of modelling, data cleansing, transformation, and warehousing, and data lake management.
- Proficiency with IBM DB2, IBM Informix, Oracle PL/SQL.
- Excellent proficiency in Cantonese and English, along with robust communication skills to collaborate with a global team.
The estimated salary range for this position is between $120,000 and $180,000 per annum, depending on location and experience.
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