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.