AWS Developer

• Design and architect scalable data pipelines using AWS Glue, Eventbridge, DynamoDB to process life insurance data including policy records, claims, actuarial datasets
• Write and optimize ETL and reconciliation workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
• Build and implement event-driven data solutions on AWS, leveraging SQS, SNS, and API integrations to enable real-time processing of insurance transactions and policy events
• Implement snowflake data masking and row level security policies to ensure sensitive policyholder and beneficiary data is protected
• Write and optimize DAX queries and PowerBI dataflows to connect directly to AWS Redshift and S3 data sources, ensuring actuarial, finance, and business teams have access to reliable and up-to-date life insurance dashboards for mortality analysis, and lapse reporting
• Build python script in Dataiku code environment to develop data processing logic that meets life insurance business and regulatory requirements
• Write and optimize ETL workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
• Write SQL queries and stored procedures in Amazon redshift to support life insurance reporting, premium reconciliation, and claim analytics
• Develop end-to-end data workflows in Dataiku, integrating life insurance data sources such as policy administration systems, claims databases and actuarial feeds
• Write and optimize Delta Lake table implementations in Databricks to support efficient storage, ACID transactions, and time travel queries on life insurance datasets
• Build and maintain alteryx server scheduled workflows to automate end-to-end data processing pipelines for life insurance and claims reporting on Tableau
• Work on Jira tickets for the sprint plan and utilize Gitlab repositories and confluence and participate in retrospective meetings

Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, electronic engineering or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects