Senior Data Engineer

Elevate data engineering processes as a Senior Data Engineer in a remote setting. Drive impactful solutions through strong expertise in Python, SQL, and AWS for superior data management.

This role focuses on leading scalable engineering initiatives that empower teams with reliable data. With over 5 years in AWS environments, you will enhance reporting infrastructure and ensure the integrity of business-critical datasets. Collaborating with cross-functional teams, your contributions will fuel strategic growth and analytics efficiency.

Key Responsibilities:

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform diverse data types
• Deliver clean datasets for BI and Analytics support
• Maintain database monitoring and quality assurance workflows
• Mentor peers to cultivate a quality-first engineering culture

Requirements:

• 5+ years of experience in data engineering
• Proficiency with Python, SQL, AWS, and Docker
• Expertise in ETL pipeline and data infrastructure management
• Familiarity with distributed systems and Spark
• Strong collaboration skills across functions

Drive success by enhancing data systems and mentoring teams within a high-performance culture.