Purple Hires Inc - 14 emplois
Toronto, ON
Posté aujourd'hui
Détails de l'emploi :
Télétravail
Temps plein
Exécutif
Role: Principal Data Engineer
Location: Toronto or Vancouver, Canada (Remote)
Mandatory skill:- Spec-Driven Development (SDD) is Must with AI
Ideal Experience
- Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
- Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
- Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
- Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
- Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
- Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
- Strong analytical and problem-solving mindset
- Ability to learn quickly and adapt to new technologies, even when uncomfortable
- Self-starter who thrives with minimal supervision and collaborates effectively as a team player
- Excellent organizational and critical-thinking skills
- Comfortable leveraging AI tools to accelerate development
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Foire aux questions
This role is based in Toronto or Vancouver, Canada, with remote work options.
The ideal candidate has at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems.
Mandatory skills include Spec-Driven Development (SDD) with AI and deep expertise in streaming technologies such as Apache Kafka, Flink, and Spark Streaming, plus experience with event-driven architectures and distributed systems.
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads is required.
Yes, the role requires fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks like dbt and Great Expectations.
The role involves mentoring engineers, delivering high-scale solutions as a hands-on contributor, and collaborating effectively as a team player with minimal supervision.
Salary information is listed as N/A, so specific pay details are not provided in the posting.
