This role is designed to ingest, transform, and integrate structured, semi-structured, and unstructured data into a scalable data architecture platform
Job Summary
This role is designed to ingest, transform, and integrate structured, semi-structured, and unstructured data into a scalable data architecture platform.
The successful candidate will develop and maintain large-scale data processing systems that prepare data for data science exploration and analytic modeling.
Prudential offers a culture where diversity is celebrated, inclusion is assured, and employees are supported to connect, grow, and succeed.
Matching Summary
This role is designed to ingest, transform, and integrate structured, semi-structured, and unstructured data into a scalable data architecture platform.
Skills & Requirements
Must-have
5+ years Flink or Spark experience
Azure DP200/DP201/DP203 certification preferred
Java, DAX, MDX, SQL, Python programming
PowerBI, Tableau, or Qlik reporting tools
Life insurance domain knowledge required
Nice-to-have
Passion for machine learning technology
Strong problem-solving skills
Open-minded and flexible teamwork
Interest in learning new things
Intermediate leadership capability
Key Requirements
University degree in Computer Science or Engineering
Over 5 years of experience with Flink/Spark/Databricks
3+ years mining data as a data analyst
3+ years using Java, DAX, MDX, SQL, Python
3+ years experience with PowerBI, Tableau, or Qlik