Sr Principal Engineer, Data AI Analytics

'' • Toronto, ON

58d

About The Position

We are seeking a highly skilled and experienced Data Engineer to join our growing analytics team. The ideal candidate with be responsible for designing, implementing, and maintaining scalable data pipelines and systems. This role requires expertise in data modeling, ETL processes, and proficiency in various programming languages and technologies. The Data Engineer will collaborate closely with cross-functional teams to ensure data integrity, optimize performance, and support data-driven decision-making across the organization.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or related field preferred.
• Proven expertise as a Data Engineer or similar role, with a track record of designing and implementing data solutions.
• Proficiency in programming languages such as Python, SQL, Java, or Scala. Experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
• Expertise in data modeling, database design, and data warehousing concepts especially for ‘big data’ pipelines.
• Hands-on expertise with cloud platforms such as AWS, Azure, or Google cloud.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
• 4+ years of Python or Java development experience
• 4+ years of SQL experience (No-SQL experience is a plus)
• 4+ years of experience with schema design and dimensional data modeling

Nice To Haves

• Certification in cloud computing and experience with machine learning and AI technologies.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience working in Agile or Scrum environments.

Responsibilities

• Design, develop, and maintain robust and scalable data pipelines and infrastructure.
• Implement efficient ETL processes to extract, transform, and load data from internal and external data sources in data warehouse or data lake.
• Create and maintain data models, schemas, and databases to support business requirements while optimizing database performance and ensuring data quality and integrity.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
• Identify and address data-related issues and troubleshoot problems as they arise.
• Document data pipelines, workflows, and systems for knowledge sharing and scaling Data-as-a-Service.
• Participate in code reviews, provide technical expertise, and mentor junior team members.
• Identify, design, and implement internal process improvements – automating manual processes, optimizing data delivery, and enhance existing data infrastructure and architect for scalability.
• Create data tools for analytics and data science team members that assists them in building and optimizing our product into innovative industry leader.
• Stay updated on emerging technologies and best practices in data engineering and incorporate them into existing systems and processes.

Benefits

• health coverage (medical, dental, vision, prescription drug)
• retirement savings benefits
• leave support including medical, family and bereavement
• Well-being programs include vacation and holidays, company-supported volunteering time, and mental health resources

What This Job Offers

• Job Type: Full-time
• Career Level: Principal