Principal Full Stack Engineer at Fidelity Labs building world - class end - to - end systems and shaping the future of the fintech industry through innovative products and services.
About the role
- 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
- Linux system administration/automation experience
- Strong problem-solving and debugging skills
- Organized, detail-oriented personality
Benefits
- Performance bonus
- Equity
- Comprehensive benefits package
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