Senior Data Engineer

Job Summary

A company is looking for a Senior Data Engineer who will drive the build, design, and implementation of enterprise-grade data pipelines and platform components across healthcare use cases.

Key Responsibilities

• Build scalable, low-latency, fault-tolerant data platforms for meaningful insights
• Collaborate with engineers to design and build data pipelines using big data technologies
• Implement and manage CI/CD pipelines and Git workflows for data pipeline validation

Required Qualifications

• Bachelor's degree in data engineering or Computer Science
• 6-8 years of experience with Python & PySpark for designing data pipeline frameworks
• 5-6 years of experience with Airflow for orchestrating ETL workflows
• 4-6 years of experience with AWS Glue & Lambda for serverless ingestion pipelines
• 2+ years of experience with Iceberg for modeling transactional lakehouse tables