Data Engineer Lead

7 days ago

Toronto, Ontario, Canada Agilus Work Solutions Full time

We are seeking an experienced Data Engineer to lead the design, optimization and maintenance of scalable data infrastructure at Agilus Work Solutions. As a key member of our innovative team, you will play a crucial role in supporting various data initiatives, including AI and machine learning capabilities.

The successful candidate will be responsible for building and optimizing data pipelines that handle large-scale datasets for AI/ML models and analytics solutions. This position offers a unique opportunity to work in a dynamic setting, leveraging cutting-edge technologies and collaborating with cross-functional teams.

Key Responsibilities:

  • Lead data and AI/ML initiatives by designing and optimizing data pipelines for large datasets, ensuring seamless integration, testing, and deployment.
  • Oversee system and database integrations, facilitating scalable data flows and interoperability between platforms and applications.
  • Develop and manage system and database integrations to ensure efficient, scalable data flows and interoperability between platforms and applications.
  • Guide the development of reports and data analysis tools, providing timely, accurate insights for business decision-making.
  • Collaborate with development teams on data modeling, database schema design, SQL query optimization, and the application of complex business rules.
  • Automate ETL processes and database operations by writing stored procedures and scripts, enhancing the efficiency and reliability of data workflows.
  • Perform proactive database maintenance and monitoring using modern tools (e.g., Datadog, New Relic) to ensure high availability, scalability, and performance.
  • Identify, troubleshoot, and resolve database issues in production environments and during solution deployment, ensuring minimal disruption to business operations.
  • Participate in the full application lifecycle, from technical design to cloud-based development, testing, and deployment, using platforms like AWS and Azure.
  • Conduct peer code reviews and ensure adherence to best practices in software development and database management for quality and security.
  • Stay up to date with the latest technologies in AI/ML, cloud computing, and data engineering to continuously enhance system capabilities and drive innovation.
  • Prioritize and cope with competing and changing objectives in support of long-term goals while maintaining stakeholder expectations

Requirements:

  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Experience: at minimum 5 years of data engineering experience with a strong background in metadata management, AI/ML project support, and working with SQL and Python.

Estimated Salary Range: $120,000 - $160,000 per year, depending on experience and qualifications.

About Us: Agilus Work Solutions is a leading provider of innovative technology solutions. We offer a dynamic work environment, competitive compensation packages, and opportunities for professional growth and development.

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