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Senior Data Engineer

1 month, 1 week ago
Canada
Full-time
Senior
Data Engineer
Software Development
AWS Azure CI/CD CloudFormation Flink GCP Go Java Kafka Machine Learning Microservices Python Rust Terraform
Apply Now
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised
View All Jobs 35

Description

  • Design and build real-time and batch data pipelines for high-volume workloads.
  • Develop scalable systems for data ingestion, transformation, enrichment, and delivery.
  • Own the full data pipeline lifecycle, including development, testing, deployment, monitoring, and optimization.
  • Improve data quality, observability, reliability, and operational performance across data platforms.
  • Optimize data processing systems for scalability, latency, and cost efficiency.
  • Partner with Analytics, Product, and Engineering teams to support reporting, automation, and downstream data consumption.
  • Lead technical discussions, design reviews, and architecture decisions related to data platforms.
  • Participate in production support and incident response for critical data systems.

Requirements

  • 6+ years of experience in data engineering, software engineering, or backend engineering.
  • Experience building and operating real-time or streaming data systems.
  • Experience with streaming technologies such as Kafka, Flink, or similar platforms.
  • Experience developing distributed systems using Go, Java, Python, Rust, or similar languages.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Experience with event-driven architectures or low-latency data processing systems (preferred).
  • Experience with CDC, event sourcing, or microservices-based data pipelines (preferred).
  • Experience with data warehouses, lakehouse architectures, or large-scale analytical platforms (preferred).
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation (preferred).
  • Experience implementing CI/CD practices for data platforms (preferred).
  • Experience mentoring engineers or leading technical initiatives (preferred).
  • Experience supporting machine learning, analytics, or AI-driven workloads (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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