Software Engineer building large-scale distributed systems at Quantcast. Collaborating with data science and engineering teams to optimize data processing workflows.
Responsibilities
Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks
Debug and resolve issues in distributed environments, including data inconsistencies and job failures
Maintain and enhance the services that support the distributed storage and compute platform
Assist in deploying and maintaining production systems, including CI/CD workflows
Work to make our platform more elastic and fault-tolerant
Provide technical input into roadmaps for the team
Write clean, maintainable, and well-tested code
Requirements
BS in computer science or equivalent experience
1-3 years of professional software engineering experience (internships included)
You must be work-authorized in the United States without the need for employer sponsorship.
Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar.
Familiarity with containerization tools (e.g., Docker and Kubernetes)
Experience with workflow orchestration tools (e.g., Airflow) is a plus
Proficient in Java and/or Python programming languages
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