About the Role
We are seeking a strong and passionate data engineer with experience in large-scale system implementation, with a focus on complex data pipelines. The candidate should be able to design and drive large projects from inception to production. The right person will work with cross-functional businesses', and technology partners to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, standout teammate, and a technology powerhouse.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Coding: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation to solve complex problems that are not well-defined and span multiple areas or projects. This includes knowledge of data structures, algorithms, programming, ETL and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Monitors, reports, and ensures resolution of complex technical problems according to standards and best practices.
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Design & Architecture: Partners with stakeholders to understand customer and/or business requirements. Translates requirements into effective design documents to address clearly defined business or technical problems. Provides expertise to make trade-off decisions between short-term results and long-term goals.
Creates and promotes efficiency and speed within the team by leveraging and improving existing solutions, developing extensible solutions, and reconciling gaps and redundancy within the team. Identifies opportunities and advocates for better performance and efficiency of the team's software and systems.
Manages and executes ambiguous technical projects and solutions with drive and an appropriate sense of urgency to deliver technical and business impact within the team. Plans organizes and manages tasks, resources, and timelines within the team to accomplish work accurately and on time. Defines and diagnoses ambiguous problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Anticipates roadblocks and develops strategies to mitigate risk.
Listens to and supports ideas/opinions of others from diverse backgrounds and experiences. Proactively builds and maintains collaborative and trusting relationships with multiple stakeholders within the team. Recognizes conflict or disputes among people and situations; mediates open communication of different points of view to resolve conflicts and meet shared goals. Provides constructive and actionable feedback to others to help improve the entire team.
Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to the engineering and/or people culture in the team such as mentoring junior engineers. Represents the team to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building).
---- Basic Qualifications ----
- 8+ years of total technical software engineering experience in one or more of the following areas:
- Programming and scripting language (e.g. Python, SQL, Java/Scala)
- Big data frameworks (e.g. Spark, Flink, MR, Presto), data modelling, and writing ETLs
- Designing end-to-end data solutions and architecture
- Workflow Scheduling using Airflow or oozie
---- What the Candidate Will Do ----
- Strong SQL skills
- Strong in Data Warehousing and Data Modelling concepts
- Hands-on experience in Hadoop tech stack: HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
- Programming languages - Python, Java, Scala, etc.
- Experience in building ETL Data Pipelines
- Performance Troubleshooting and Tuning
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.