Data Engineer - Growth and Marketing Platform

About the Role

• Develop high-performance data pipelines, real-time streaming systems, and robust data architectures for Uber's growth and marketing initiatives.
• Collaborate with various teams to design scalable, efficient, and reliable data solutions.

What You'll Do

• Design, develop, and maintain scalable data pipelines and backend services.
• Lead the development of core data infrastructure for high availability and performance.
• Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
• Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
• Participate in code reviews, mentor junior engineers, and enforce best practices.
• Diagnose and resolve data quality issues for accuracy, efficiency, and security.

What You'll Need

• No more than 2-3 years of experience in data engineering or backend software development.
• Proficiency in Python, SQL, Java, or Scala for data pipeline development.
• Expertise in Big Data frameworks and distributed computing.
• Strong SQL skills with experience in data modeling and query optimization.
• Hands-on experience with ETL pipeline development and data warehousing.
• Knowledge of Hadoop ecosystem technologies.
• Ability to design and implement scalable data architectures.

Preferred Qualifications

• Experience with real-time data streaming (e.g., Flink, Kafka).
• Background in AdTech or large-scale data analytics.