Data Engineer Canada(Toronto, Vancouver)/Hybrid , India(Bangalore)/Hybrid, USA(Fremont-California)/Hybrid
Summary
Designs, builds, and maintains scalable data pipelines, ETL/ELT workflows, and data warehouses/lakes that power analytics, BI, and AI/ML applications, collaborating with data scientists, engineers, and business stakeholders. Core work centers on SQL optimization, cloud data services, and distributed processing, in hybrid roles across Toronto, Vancouver, Bangalore, and Fremont, CA.
As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines and platforms that enable analytics, business intelligence, and machine learning applications. You will collaborate with data scientists, analysts, software engineers, and business stakeholders to ensure data is reliable, accessible, secure, and optimized for business use.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and optimize data ingestion, transformation, and processing systems.
- Develop efficient data models for analytics and reporting.
- Work with structured and unstructured data from multiple sources.
- Design and maintain data warehouses, data lakes, and modern data platforms.
- Optimize SQL queries and data-processing jobs for performance and scalability.
- Implement data quality, validation, monitoring, and governance processes.
- Integrate data from APIs, databases, applications, and third-party systems.
- Work with cloud-based data services and distributed processing technologies.
- Collaborate with data scientists and ML engineers to support AI/ML data requirements.
- Ensure data pipelines are scalable, secure, reliable, and maintainable.
- Troubleshoot data-related issues and improve pipeline reliability.