Job opportunity
Senior Data Engineer/Data Architect at Oshawa
Cpus Engineering Staffing Solutions Inc.
Become a leader in data architecture at 1908 Colonel Sam Drive, Oshawa as a Staff Data Engineer/Data Architect in a hybrid work model. Shape customer-centered solutions through robust data pipelines.
In this senior role, you'll guide the design and implementation of scalable data infrastructure while collaborating within a dynamic agile team. Your focus will be on delivering high-performance data solutions and ensuring data security and accessibility. You'll advocate for best practices with an emphasis on innovation.
Key Responsibilities:
• Lead the creation of scalable and modular data pipelines
• Define standards for effective data architecture and models
• Work closely with cyber teams for data security assurances
• Facilitate the introduction of new technologies through POCs
• Document architecture and solutions comprehensively
Requirements:
• 6-8 years in data architecture and modeling
• Experience with Azure Data Stack and big data tools
• Strong knowledge in low-latency and event-driven data processing
• Proven ability in designing common data models
• Degree in computer science or related discipline
Drive strategic data initiatives while enhancing your career in a supportive team environment.
#J-18808-Ljbffr
Apply on source site In this senior role, you'll guide the design and implementation of scalable data infrastructure while collaborating within a dynamic agile team. Your focus will be on delivering high-performance data solutions and ensuring data security and accessibility. You'll advocate for best practices with an emphasis on innovation.
Key Responsibilities:
• Lead the creation of scalable and modular data pipelines
• Define standards for effective data architecture and models
• Work closely with cyber teams for data security assurances
• Facilitate the introduction of new technologies through POCs
• Document architecture and solutions comprehensively
Requirements:
• 6-8 years in data architecture and modeling
• Experience with Azure Data Stack and big data tools
• Strong knowledge in low-latency and event-driven data processing
• Proven ability in designing common data models
• Degree in computer science or related discipline
Drive strategic data initiatives while enhancing your career in a supportive team environment.
#J-18808-Ljbffr