Principal Data Engineer

Uber•San Francisco, CA

28d•$284,000 - $315,500

About The Position

This is a Technical Data Leader position. The Data Engineering team focuses on building core Business Intelligence and Data Solutions for multiple business verticals at Uber, like Uber Eats, Grocery & Retail, Growth & Marketing, Uber for Business, Memberships and Ads! The team also works on ground up initiatives like Data Anomaly Detection and Optimizing Data Compute and Storage.

Requirements

12+ years of total technical data/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

Nice To Haves

Technical Leader in Big Data domain
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

Responsibilities

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 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
Plans organizes and manages tasks, resources, and timelines 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 . 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).

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