Uber—Data Analytics Engineer I, Tech - Data

Job description

Description: About the Role We are seeking a highly skilled and experienced Data Analytics Engineer I , to join our Customer Support Data (CSD) team within Uber’s Community Operations (CommOps) organization. As a key member of our team, you will be responsible for: - Optimizing data-resource utilization and data quality. - Standardizing core business metrics through canonical datasets. - Building data-engineering practices across Uber Customer Support Data. - Managing and optimizing CommOps-data infrastructure. - What the candidate will do - Build and maintain data pipelines and data products that power analytics, reporting, and machine-learning use cases across the Delivery organization. - Develop batch and real-time data-processing workflows that transform large datasets into reliable and well-structured data assets. - Contribute to the development of core business metrics and analytical datasets used by product, data science, and engineering teams. - Work closely with product engineers, data scientists, and analysts to understand data requirements and implement scalable solutions. - Ensure data quality, reliability, and timeliness across pipelines by following established data-engineering best practices. - Support performance optimizations and infrastructure improvements to improve pipeline efficiency and maintain SLA commitments. - Participate in improving data-engineering tools, processes, and documentation within the team. Basic Qualifications - Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. - Minimum of 2 years of technical experience in a data-focused role, such as business analytics and intelligence and engineering or data science - Experience coding using a general-purpose programming language such as Python, Go, or a similar language. - Experience working with data-processing frameworks such as Spark, Hive, or similar technologies. - Understanding of data-warehousing concepts and analytical data modeling. - Experience writing data-transformation logic, queries, and scripts for data-processing workflows. - Strong problem-solving skills and the ability to work collaboratively with cross-functional teams. - Knowledge of cloud technologies like GCP, AWS, Azure - Knowledge of reporting tools like Tableau and/or other BI tools. - Knowledge of building AI models/agents is a plus.