Data Engineer

Prudential's purpose is to be partners for every life and protectors for every future.

The Data Engineer will assemble large, complex sets of data that meet non-functional and functional business requirements.

Responsibilities:

• Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Work closely with all business units to develop strategy for long-term data platform architecture.

Requirements:

• University degree in Computer Science, Engineering, or a technically oriented field.
• 3 years of experience with Flink/Spark, Databricks.
• 3 years of experience with Azure (DP200 and/or DP201, DP203 certification acts as a plus).
• Passionate about analytics, machine learning technology & applications, and eager to learn.
• English communication.
• Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce.
• Knowledge of Azure services like Storage Account, Azure DataBricks, etc.
• Good knowledge of SQL and excellent coding skills.
• Working knowledge of various ML/DL applications such as Keras, Tensorflow, Python scikit-learn, and R.
• Self-Development, communication, problem-solving skills.
• Open-minded, multi-tasking, teamwork, flexible, and interested in learning new things.