
201 - 500 employees
Founded 1997
💼 Consulting
🤝 B2B
🏢 Enterprise
💰 $2M Seed Round - Plato Testing on 2022-05
Consulting • B2B • Enterprise
PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years it has partnered with enterprises to deliver reliable digital products through software testing, quality assurance, risk mitigation, system stability, and user-experience improvements. PLATO operates a 100% Canada-based workforce offering testing services, IT and business consulting, and training programs that include Indigenous-focused recruitment and guaranteed employment to increase Indigenous participation in the tech workforce.
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201 - 500 employees
Founded 1997
💼 Consulting
🤝 B2B
🏢 Enterprise
💰 $2M Seed Round - Plato Testing on 2022-05
Consulting • B2B • Enterprise
PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years it has partnered with enterprises to deliver reliable digital products through software testing, quality assurance, risk mitigation, system stability, and user-experience improvements. PLATO operates a 100% Canada-based workforce offering testing services, IT and business consulting, and training programs that include Indigenous-focused recruitment and guaranteed employment to increase Indigenous participation in the tech workforce.
• Design, develop, and maintain scalable streaming data pipelines for Bronze, Silver, and Gold data layers • Implement data ingestion processes from various sources • Ensure data quality and integrity • Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver data solutions • Monitor and optimize streaming data solution performance • Ensure compliance with data governance and security standards • Manage enhanced security clearance protocols • Participate in code reviews • Mentor junior team members • Document data engineering processes and workflows • Stay current with streaming data engineering trends and emerging technologies
• Minimum of 5 years of experience in data engineering, with a focus on streaming data technologies • Proficiency in Python, Java, or Scala • Experience with Apache Kafka, Apache Flink, or similar data streaming technologies • Strong understanding of data modeling and ETL processes • Familiarity with AWS, Azure, or GCP is an asset • Familiarity with Hadoop and Spark is an asset • Enhanced security clearance is required • Ability to work remotely from Canada
• Collaborative work culture • Professional growth opportunities • Mentorship and knowledge-sharing • Accommodation support during the recruitment process • Inclusive hiring practices
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