Role: Reporting and Analytics Engineer
Location: Durham, NC (Onsite)
Is initiating a migration project to enhance and update their current reporting infrastructure, aiming to move away from the existing ecosystem of Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Exadata towards a new setup involving Snowflake and Power BI hosted on AWS and Azure platforms, respectively. The migration is driven by the need to address various challenges including data quality issues, lack of self-service capabilities, and alignment with Enterprise Information (EI) and Workplace Investing (WI) cloud strategies. The transition aims to provide a better reporting experience, faster time to market, and support the decommissioning of legacy hardware and data warehouses.
JOB DUTIES:
Analytics and Reporting Chapter team is looking for an Engineer to join our team to help deliver reporting application and AI (Artificial Intelligence) models into production. This role is a dynamic Agile engineering position where you will partner with your teammates on

• our development team and peer data scientists to assist with data analysis,
• reporting and research conduct tactical data extracts and build balanced ETL data pipelines
• deploy AI/Machine learning models via RESTful APIs
• structure model output data and build reports to measure deployed model efficiency.
• If you have an inquisitive and consulting approach, excellent SQL skills, strong experience in building and deploying data movement solutions.
• Data centric APIs and a passion for delivering innovative products and services that improve the lives of our customers, a career on the WI Analytics and Reporting squad could be for you!

Responsibilities:
Consistent record of accomplishment of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following coding standard methodologies and CI/CD pipelines.
Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
At least 5 years of building and deploying data movement and data transformation workflows, and pipelines.
At least 2 years of proven web-service development experience with Java and or Python and/or practical experience with AI/ML models or their delivery.
At least 1year experience in GenAI, preferably on Microsoft OpenAI or AWS Bedrock.
Experience interacting with financial services and or digital channel data (Web clicks, Phone logs, email campaigns) a plus.
Hands on experience with AWS and/or Azure infrastructure strongly preferred.
Familiarity or exposure to VetorDB like Redis Cache or AWS Open search would be an added advantage.
Bachelor s Degree in Computer Science or similar field.