Enhance Lyft’s pricing systems as a Data Engineer on the Pricing team. Engage in building data pipelines in a team-oriented hybrid work workplace.
This role entails defining and managing data architecture that supports pricing strategies pivotal to Lyft’s operations. By working closely with data science and engineering partners, you will create solutions that inform Lyft's pricing models and user experiences. Your contributions will directly impact growth and profitability.
Key Responsibilities:
• Manage the pricing data pipeline for high data growth
• Refine data models as per engineering needs
• Implement quality tracking systems for data consistency
• Develop and maintain data management tools
• Tune SQL and MapReduce jobs for efficiency
Requirements:
• Bachelor’s degree in Computer Science or similar
• Minimum 2 years in data engineering roles
• Proficient in Spark and Hadoop ecosystem
• Robust command over scripting languages like Python
• Experience with management tools such as Airflow
Utilize your data skills to drive the strategic pricing framework at Lyft.
J-18808-Ljbffr

📌 Lyft Data Engineer For Pricing Strategies Toronto
🏢 Socotra
📍 Toronto