Senior Data Engineer

🔥 6 hours ago

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PLATO

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and deliver scalable Oracle-based data solutions, including XMLType and schema-based structures. • Develop and maintain ETL processes and data pipelines for data integration, migration, and deployment. • Create and support Oracle PL/SQL packages, stored procedures, functions, and triggers. • Collaborate with stakeholders to define data requirements, design relational schemas, and optimize data flows. • Analyze and optimize Oracle SQL performance through query tuning, execution plan analysis, and indexing strategies. • Establish and enforce data governance, security, data quality, and validation standards. • Provide technical leadership, mentorship, and guidance on complex data engineering challenges. • Evaluate new Oracle features, ETL technologies, and data engineering best practices to support continuous improvement.

🎯 Requirements

• Active Reliability Security Clearance or higher. • 10+ years of experience in data engineering, database development, and data integration. • Extensive expertise in Oracle SQL, PL/SQL, ETL development, and ETL pipelines, with expert level proficiency. • Experience with Oracle XMLType, schema-based database structures, and database performance optimization. • Strong experience developing Oracle PL/SQL packages, procedures, functions, and triggers. • Experience with SQL tuning, execution plan analysis, and database optimization. • Strong understanding of data governance, security, data integrity, and data validation practices. • Strong analytical, problem-solving, communication, and leadership skills.