Senior Data Engineer

Job Summary

A company is looking for a Senior Data Engineer to help transform the insurance industry by solving complex data challenges at scale.

Key Responsibilities

• Architect and implement modern, scalable ETL/ELT pipelines using AWS-native services to process insurance claims data
• Build resilient, high-throughput data pipelines ensuring quality and reliability for accurate enterprise data
• Collaborate with cross-functional teams to deliver business-aligned solutions and streamline operations through automation

Required Qualifications

• 6+ years of experience building production data pipelines with Spark, PySpark, and orchestration tools
• 4+ years of deep AWS data engineering expertise, including tools like Glue and EMR
• 3+ years of experience architecting data solutions using AWS services, from S3 to Redshift
• Expert-level SQL skills for large-scale data processing and advanced analytics
• Strong engineering practices, including GitOps workflows and infrastructure-as-code methodologies