Insurance Data Engineering - Data Engineer

📋 Description Design, build, and operate scalable, production-grade data platforms on AWS. Own the full lifecycle of data pipelines from ingestion to governance. Develop lakehouse data assets on Apache Iceberg with partitioning and schema evolution. Build and run large-scale data processing jobs with Apache Spark and AWS Glue Spark jobs. Model, load, and optimize data in Snowflake; govern assets with AWS Glue Data Catalog and Snowflake Architect data solutions on AWS using native services (S3, Glue, EMR, Lambda, Athena, Kinesis 🎯 Requirements 5-8 years of hands-on data engineering experience building production data pipelines. Strong Python skills for data engineering and automation. Advanced SQL with relational databases (PostgreSQL, MySQL). Experience operating a workflow orchestration tool (Airflow, Dagster, etc.). Hands-on Apache Spark experience for large-scale processing. Production experience with Apache Iceberg and AWS Glue. 🎁 Benefits Equal opportunity employer; accommodations available upon request.