Lead Data Engineer

Job Summary

A company is looking for a Lead Data Engineer.

Key Responsibilities

• Design and build large-scale data pipelines using Python, PySpark, and Scala
• Optimize Spark jobs for performance in GCP environments
• Develop and maintain production-ready workflows using orchestration tools like KFP or Airflow

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience
• 5-20+ years of experience in data engineering with a focus on Python, PySpark, and/or Scala
• Expertise in Spark performance tuning and optimization in cloud-based environments
• Hands-on experience with workflow orchestration tools like KFP or Airflow
• Proficiency with Docker and container-based deployment strategies