
Senior Data Pipeline Engineer
3 weeks ago
Mission Summary:
We are seeking a talented Senior Data Pipeline Engineer to design and implement robust large scale data processing and transformation pipelines in the Data Platform team.
The Data Platform builds a scalable compute platform that is used throughout the company, enabling a diverse set of teams to access data, extract meaningful automated metrics out of the data, and perform various ad-hoc analyses on the data. We deal with data on the petabyte scale and provide critical functions to improve the development of a reliable AV by allowing various researchers and engineers to understand how the AV performs various tasks and scenarios in real world or simulated environments. The Data Platform team is responsible for building automated pipelines to perform extraction of information from the data, transformation of data into different formats that can be consumed by downstream services and for building interfaces to enable easy access to the data.
What You'll Be Doing
- Design, build, maintain and monitor scalable data pipelines in the cloud infra.
- Design and build self-service data platform infrastructure and backend services
- Write high quality, maintainable code
- Mentor junior engineers with high-level system design and code reviews
- Communicate with stakeholders and team leads to identify system requirements
- Take a strong sense of ownership and responsibility for reliable and efficient data pipelines.
What We're Looking For
- 5+ years of professional work experience as a data pipeline engineer.
- BS or MS in Computer Science or related field
- Expertise with distributed data processing frameworks, such as Spark, Flink, Beam
- Expertise with Java, Python or Go
- Experience with AWS services and solutions
- Experience with cloud-native backend software development is a plus
- Experience with Kubernetes is a strong plus
- Strong written and oral communication skills
- Comfortable working in a fast-paced, continuous delivery environment
Oral Communication Skills
Scala
Kubernetes
Big Data
Pipelines
Hadoop
Data Transformation
ETL
Data Engineering
SQL
System Design
Python
AV
Java
Databases
Software Development
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