Elevate your data engineering skills at Lyft within the Growth Products team. This hybrid role emphasizes building data pipelines and improving performance for dynamic growth campaigns.
As a Data Engineer, you'll take ownership of data modeling and pipeline management essential for Lyft's successful growth strategies. Your 3+ years of experience with PySpark, Python, and SQL will enable you to enhance data quality and support cross-functional collaboration across product, engineering, and marketing teams.
Key Responsibilities:
• Build and maintain scalable data pipelines for Growth products
• Enhance data models and adapt schemas as needed
• Monitor and elevate data quality, consistency, and performance
• Support users with self-serve ETL tools and analytics
• Collaborate with product and engineering teams to align solutions
Requirements:
• 3+ years data engineering experience in large-scale systems
• Strong skills in PySpark, Python, and SQL tuning
• P...