
Principal Distributed Systems Architect
1 week ago
Job Overview
This role presents an exceptional opportunity to architect high-performance, distributed applications and contribute to cutting-edge analytics and machine learning solutions at scale.
About the Position
The ideal candidate will be responsible for:
- Designing and optimizing data pipelines using Apache Spark.
- Developing high-performance, scalable applications that can handle massive data volumes.
- Contributing to the development of a Lakehouse architecture.
- Integrating data governance and machine learning tools.
Essential Qualifications
- A strong background in Java or Scala development (Scala preferred).
- A deep understanding of core computer science principles, including data structures, caching mechanisms, networking, and database systems.
- Experience with Apache Spark internals and one of the key open-source table formats (Iceberg, Delta Lake, or Hudi).
Preferred Skills
- Advanced experience in Scala or Java development (3+ years).
- Knowledge of core computer science principles.
- Hands-on experience with Apache Spark and open-source table formats.
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