Posted by Data engineering is a rapidly growing field that involves designing, developing, and managing large-scale data systems and infrastructure. For foreign nationals interested in pursuing a career in data engineering in Canada, obtaining a work visa with sponsorship is often necessary.
Many companies in Canada are currently hiring data engineers with visa sponsorship. Here are ten data engineer jobs in Canada with visa sponsorship hiring now:
1. Data Engineer
As a data engineer, you would be responsible for designing, building, and maintaining data systems and infrastructure. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in data engineering.
2. Big Data Engineer
You would design and manage big data systems and infrastructure as a big data engineer. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in big data engineering.
3. Cloud Data Engineer
You would design and manage cloud-based data systems and infrastructure as a cloud data engineer. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in cloud data engineering.
4. Data Warehouse Engineer
As a data warehouse engineer, you would be responsible for designing and managing data warehouses and related infrastructure. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in data warehouse engineering.
5. ETL Engineer
As an ETL engineer, you would be responsible for designing and implementing ETL (extract, transform, load) processes to move data from one system to another. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in ETL engineering.
6. Hadoop Engineer
As a Hadoop engineer, you would be responsible for designing and managing Hadoop-based data systems and infrastructure. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in Hadoop engineering.
7. Machine Learning Engineer
As a machine learning engineer, you would be responsible for designing and implementing machine learning algorithms and models to extract insights from data. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in machine learning engineering.
8. Data Integration Engineer
As a data integration engineer, you would design and implement data integration processes to combine data from multiple sources. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in data integration engineering.
9. Business Intelligence Engineer
As a business intelligence engineer, you would be responsible for designing and implementing business intelligence systems and infrastructure to support business decision-making. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in business intelligence engineering.
10. Data Quality Engineer
As a data quality engineer, you would be responsible for designing and implementing data quality checks and processes to ensure data accuracy and consistency. This position typically requires a Bachelor’s or Master’s degree in computer science, data engineering, or a related field, as well as experience in data quality engineering.
Conclusion
In conclusion, there are many opportunities for foreign nationals interested in pursuing a career in data engineering in Canada with visa sponsorship. By considering the ten data engineer jobs in Canada with visa sponsorship hiring now listed above, you can take the first step towards a rewarding career in data engineering and contribute to the development of large-scale data systems and infrastructure in Canada.