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Data Platform Engineer: TB-PB Scale, Real-Time Pipelines
Job summary
A leading technology startup in Toronto seeks an experienced engineer to build scalable data platforms and optimize the data that powers their API. Candidates should have 3+ years of experience in data engineering, with expertise in Java, Python, and large-scale data processing tools like Kafka and Flink. The position offers strong compensation, equity packages, and a flexible work environment in downtown Toronto.
Benefits
Qualifications
- 3+ years of experience in platform engineering or data engineering.
- 2+ years designing and optimizing data pipelines at TB to PB scale.
- Proficient in Java with a focus on clean code.
- Strong system design skills for big data.
- Familiarity with lake-house architectures.
- Experience with real-time data processing tools.
- Knowledge of distributed systems.
- Strong problem-solving skills.
Responsibilities
- Own projects to enhance data replication, storage, and reporting.
- Build and optimize streaming and batch data pipelines.
- Design scalable storage solutions for large data sets.
- Develop real-time data systems for growing data volumes.
- Implement data lineage and observability patterns.
- Write maintainable code in Java and Python.
- Shape architectural decisions for scalability.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.