Develop and maintain scalable data pipelines using AWS services and Databricks. These processes are designed to extract data from multiple sources, transform it into meaningful formats, and load it into data lakes or downstream systems.
A key aspect of this responsibility is ensuring that data is accurately cleaned, transformed, and loaded to enable consistent and reliable analytics and reporting along with designing data storage systems that scale, perform well, and meet the organization s purge and archive requirements.
Implement monitoring and alerting systems to proactively detect and resolve issues within data pipelines and oversee data storage and processing activities, ensuring optimal performance by addressing operational challenges.
Enable a 360-degree view of customer-centric information through integration of a multitude of internal/external systems, mobile apps, devices, and data marts.
Ability to implement test driven development with strong focus on automation testing.
Support and enhance existing Individual & Family Retail Health Insurance applications used by consumers as well as operations staff.
