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Back-End Software Engineer for Data Solutions

3 months ago

Calgary, Alberta, Canada Smart technologies Full time

Company Overview: SMART Technologies is dedicated to empowering educators and businesses globally. Our innovative technology fosters collaboration and learning, leading to enhanced educational outcomes and business advancements.

Position Overview: As a Back-End Software Engineer focusing on our Data Platform, you will collaborate with a dynamic team responsible for developing and enhancing features while ensuring the stability of our existing products. This role involves building and maintaining a robust data analytics pipeline within Amazon Web Services (AWS). The ideal candidate is proactive, adaptable, and eager to work with both modern and legacy technologies.

Key Responsibilities:

  • Collaborate with front-end teams to deliver impactful features for educators.
  • Develop, deploy, and sustain a data analytics pipeline utilizing AWS.
  • Create reusable code and libraries for future applications.
  • Optimize services for peak performance and scalability.
  • Implement security measures and data protection protocols.
  • Design and integrate new functionalities into our web services.
  • Adopt test-driven development methodologies, including writing and maintaining unit tests.
  • Work alongside the testing team to ensure comprehensive automated testing coverage.
  • Assess and select new technologies and libraries for product integration.
  • Engage in the complete Agile software development lifecycle.
  • Document technical processes and maintain up-to-date documentation.
  • Troubleshoot and resolve outages, escalations, and technical issues.
  • Conduct performance benchmarking tests.
  • Perform additional duties as necessary.

Required Skills:

  • Strong understanding of computer science principles, particularly in data structures, concurrent programming, distributed systems, and databases.
  • Proficient in Python for AWS service interaction and data analysis (e.g., boto3, numpy, pandas, PySpark).
  • Experience with AWS serverless architectures, including Lambda, API Gateway, SQS, SNS, Step Functions, and Glue, following infrastructure as code practices (Terraform).
  • Familiarity with test-driven development practices.
  • Experience in Agile software development methodologies.
  • Proficient in building and deploying applications on AWS.
  • Experience with continuous deployment pipelines.
  • Ability to take initiative and propose innovative solutions.
  • Enjoy working within a geographically distributed team.
  • Preferred experience in developing highly available services.
  • Preferred experience with AWS data analytics tools, including Datalake, Lake Formation, Athena, AWS Redshift, and Quicksight.
  • Preferred experience in developing web services using Java.
  • Preferred educational background in Computer Science, Computer Engineering, or a related field.

For more information about our company and culture, please visit our website.