About the Role
Uber is at the forefront of redefining the future of grocery and retail delivery. From a company that began by transporting people, we have evolved into a platform that delivers nearly anything on-demand. As we continue expanding into groceries, retail, and beyond, we are focused on providing a seamless, scalable experience for our customers, earners, and partners.
The Grocery & Retail Data Engineering Team plays a pivotal role in driving this mission. This team is responsible for building and maintaining robust data platforms that support our fast-growing grocery and retail services. As a Data Engineer in this team, you will be designing, developing, and scaling data solutions that will enable advanced analytics, operational efficiencies, and data-driven decision-making across various business verticals.
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--- Basic Qualifications ---
BSc in Computer Science, Engineering, Mathematics, or a related field experience in Software Engineering, with at least 3 years of focused experience in:
- Programming Languages: Full proficiency in Python, SQL, and Java/Scala.
- Big Data Technologies: Hands-on experience with Spark, Hadoop, Kafka, Flink or other big data processing frameworks.
- ETL Development: Designing and building ETL pipelines for processing large data sets.
- Data Systems Design: Experience designing end-to-end data solutions and complex data architectures.
--- Preferred Qualifications ---
- Strong knowledge of SQL and database optimization techniques for both relational and non-relational databases.
- Understanding of data warehousing solutions and best practices, including partitioning, indexing, and schema design.
- Experience with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
- Experience working with cloud infrastructure (e.g., AWS, Google Cloud Platform, Microsoft Azure) to deploy and manage scalable data solutions.
- Demonstrated ability to translate complex business requirements into efficient and scalable data models, systems, and analytical tools.
- Familiarity with distributed systems and their associated challenges, including consistency, availability, and fault tolerance.
- Ability to work with both batch and real-time data processing frameworks.
--- What the candidate Wil Do ---
- Collaborate with cross-functional stakeholders, including product managers, data scientists, and software engineers, to design and develop data systems that enable Uber's grocery and retail expansion.
- Build and maintain large-scale data systems such as data warehouses, databases, and big data infrastructures that power various analytics and business applications.
- Develop scalable ETL (Extract, Transform, Load) pipelines to process and manage high volumes of structured and unstructured data.
- Ensure the reliability, availability, and performance of data systems through continuous monitoring and optimization of distributed data processing frameworks (e.g., Spark, Flink, Presto).
- Lead efforts to improve data modeling practices, defining best practices for schema design and data governance to support business intelligence tools and advanced analytics.
- Create and optimize data workflows to support both operational systems and advanced data analysis, ensuring consistency, integrity, and quality across all data products.
- Support the development and implementation of cutting-edge data architecture, ensuring scalability, fault-tolerance, and efficiency.
- Stay ahead of industry trends and emerging technologies in data engineering to maintain Uber's competitive edge in data solutions.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.