As a member of the Global Data and Advanced Analytics department, the Consumer Privacy Data Engineer will be responsible for the development of technical solutions for the adherence to arising consumer preference privacy regulations and electronic records management schedules. Under general supervision, responsible for the analysis, development, and execution of data solutions of moderate complexity in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions from that information. Develops, constructs, tests, and maintains data architectures for data platform, database, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Recommends methods to improve data reliability, quality, and efficiency.

Responsibilities

Designs and develops low to moderately complex programs and tools to support ingestion, curation and provisioning of enterprise data to achieve analytics or reporting. Builds and designs data models and data architecture of low to moderate complexity that improve accessibility, efficiency, governance and quality of data. Makes recommendations for how to improve data. Provides successful deployment and provisioning of data solutions to production or other required environments Identifies possible process improvements that address technology gaps within a single business process of moderate complexity. Builds proficient knowledge of technology enablers. Analyzes and prepare moderate to complex technology enabled recommendations to address gaps within a single business process. Performs other duties and projects as assigned.

Desired Skills:

• Good Communicator in a Virtual Working Environment and ability to work with business and technology team members
• Experience working in Agile Environments and working as part of an Agile team
• Experience working with team members in different time zones and with onshore/offshore teams
• Agile certification (e.g., SAFe, Scrum) are a plus
• Insurance industry experience a plus

AWS Development Focus:

• Experience working in AWS (preferred), Azure or Google serverless development environment
• AWS Developer certification preferred
• AWS CDK with Typescript
• AWS Lambda
• AWS Event Bridge
• Microservices design patterns
• Experience in Devops tools, such as Bamboo (preferred), Git, Jira. Jenkins (if not Bamboo)
• Experience in Java/Python

Java Development Focus:

• Proficient in Java
• Proficient in Spring Boot Framework
• Proficient in Microservices development and testing
• Working Experience in AWS Lambda Functions (AWS certification a plus)
• Experience with APIGEE a plus
• Proficient in Data Engineering
• Proficient in SQL
• Experience in Data Obfuscation
• Experience in Python/Java
• Experience in AWS Data Engineering Services