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Aws Data Engineer Jobs in British Columbia

Data Engineer (Aws, Python)
By Randstad Canada At Greater Toronto Area, Canada
A minimum of 5 + years’ experience in progressive data engineering roles.
5+ years’ experience in Python for data and analytics.
Knowledge of best practices in enterprise-wide database implementation, availability, and security configuration
Expert knowledge in SQL, ETL architecture, data architecture and BI architecture.
Plan, coordinate, develop and support data model development, including architecting table structure, building ETL process, documentation, and long-term preparedness.
Provide production support for existing data pipelines.
Junior Aws Engineer Jobs
By Pragra At Greater Toronto Area, Canada
· Experienced in log management and monitoring at system, database, networking and application levels.
· Experienced to manage nginx/Apache hosting and load balancing
· Ability to use cloud services and open-source technologies (experience with AWS required)
· Strong experience of hosting production environments using node.js, PHP OR LAMP stack, WordPress and J2EE applications.
· Experienced in multi-site hosting, security practices
· Experienced in backup/recovery practices and worked on high availability environments.
Aws Systems Engineer Jobs
By Stellar Recruitment Inc. At Vancouver, British Columbia, Canada
Experience mentoring colleagues and excellent organizational skills with attention to detail.
Manage requests for proposals, vet competitive bids, and coordinate with external contractors for system solutions.
6+ years of experience building and supporting complex IT systems.
Proactive problem-solving skills and ability to work well in a team-based environment.
Plan and implement compute, virtualization, and storage technologies for a fast-growing organization across multiple sites.
Collaborate with technical counterparts from various departments to provide infrastructure support for their projects.
Aws Engineer Jobs
By NLB Services At Vancouver, British Columbia, Canada
Knowledge and experience in SSM (should have good experience on this service)
Knowledge and experience in Lambda
Knowledge and experience in CloudFormation
Knowledge and experience in IAM
Good understanding of CI CD experience. Knowledge in AWS Code Pipeline, Github, Gitlab.
Experience in AWS Landing zone and Organization services

Are you looking to join a team of data engineers and help build the future of data-driven products? We are looking for an AWS Data Engineer to join our team and help us build and maintain our data infrastructure. You will be responsible for designing, developing, and maintaining data pipelines and ETL processes to support our data-driven products. You will also be responsible for developing and maintaining data models and data warehouses to store and analyze data. If you have experience with AWS services such as EC2, S3, and Redshift, and have a passion for data engineering, then this is the job for you!

AWS Data Engineer job is a technical role that involves designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) platform. The AWS Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures on the AWS platform.

What is Aws Data Engineer Skills Required?

• Proficiency in AWS services such as EC2, S3, Redshift, EMR, and Lambda
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Experience with scripting languages such as Python, Java, and Ruby
• Knowledge of data warehousing concepts and architectures
• Ability to work with large datasets
• Knowledge of data security and privacy best practices

What is Aws Data Engineer Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 5+ years of experience in data engineering
• AWS Certified Solutions Architect or AWS Certified Data Engineer certification

What is Aws Data Engineer Knowledge?

• Knowledge of AWS services such as EC2, S3, Redshift, EMR, and Lambda
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Knowledge of data warehousing concepts and architectures
• Knowledge of data security and privacy best practices