AWS Data Platform Engineer ETL, Python, SQL

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

Design develop and maintain robust data pipelines and ETL processes.

Work with large-scale datasets to ensure data integrity quality and availability.

Collaborate with data scientists analysts and other engineers to support data needs.

Optimize data work-flows for performance and scalability in cloud environments.

Implement data governance and security best practices.

Proficiency in Python and SQL for data manipulation and pipeline development - min 6 years of experience.

Hands-on experience with AWS services such as S3 Lambda Glue IAM etc.

Strong understanding of data modelling warehousing and distributed systems.

Experience with version control systems (e.g. Git) and CI/CD pipelines.

Experience Required: 8 years

Required Skills:

Job Description: Design develop and maintain robust data pipelines and ETL processes. Work with large-scale datasets to ensure data integrity quality and availability. Collaborate with data scientists analysts and other engineers to support data needs. Optimize data work-flows for performance and scalability in cloud environments. Implement data governance and security best practices. Proficiency in Python and SQL for data manipulation and pipeline development - min 6 years of experience. Hands-on experience with AWS services such as S3 Lambda Glue IAM etc. Strong understanding of data modelling warehousing and distributed systems. Experience with version control systems (e.g. Git) and CI/CD pipelines. Experience Required: 8 years