Data Engineer

4+ Years of hands-on, progressive experience in Cloud Data Engineering, Data Architecture Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management Insurance industry experience preferred but not mandatory Tools: Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.) Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git Strong SQL, Pyspark and Python Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders. Bachelor's/Master's in Engineering 2-5 years