Do you want to join a leading artificial intelligence solutions provider? Are you looking for an exciting career opportunity as a Data Engineer that allows you to put your experience to good use and fosters continued long-term growth? Stradigi AI is looking for a Data Engineer to join our Solutions team. In this role, you will work in a client project environment with an AI-Agile Team and contribute to the development and deployment of datasets that are critical components of our AI models and data pipelines. 

Responsibilities:

  • Deploy and maintain data pipelines; 
  • Work with Jenkins for continuous integration and deployment. Apply CI/CD practices to prevent integration problems as well as ensure that the code is releasable at any point in time;
  • Work with Docker for containerization, Git for version control, and Kubernetes for deployment;
  • Design and develop database solutions to store and retrieve client and company information;
  • Handle large scale databases;
  • Design conceptual and logical data models and flowcharts;
  • Participate in scrum project meetings and update stories; 
  • Participate in the estimation of the Stories based on defined Acceptance Criteria and Definition of Done;
  • Collaborate with the Data Science colleagues to identify future needs and requirements;
  • Understand how to optimize data retrieval and how to develop dashboards, reports and other visualizations for stakeholders.

Requirements:

  • 5+ years software development experience in building highly scalable, highly available systems and in-depth knowledge of data;
  • Bachelor’s Degree in Computer Science, IT or MIS with an emphasis on Information Management, Database Administration and/or equivalent experience;
  • Nice to have: professional certifications such as MCSE in Microsoft Azure BI & Data Platform technologies or AWS Certified Big Data;
  • Hands on Experience with AWS, Hadoop, data lakes, Spark, Hive, SQL Server Database, SQL Server Integration Services, SQL Server Analysis Services;
  • Strong experience with working with tools & platforms within the AWS ecosystem (EC2, S3, Aurora, Lambda, API Gateway, etc.);
  • Experience working with Jenkins, Docker, Kubernetes and AWS;
  • Experience with structured databases like Microsoft SQL Server, Mysql, etc.; and noSQL: Cassandra, Elastic Search, Mongo DB
  • Nice to have an understanding of Machine Learning / AI principles.

What we offer:

  •  Group insurance and 3% company contribution to RRSP;
  •  ½ paid day for your birthday;
  • Weekly team breakfast;
  • Referral bonuses;
  • Organized company events
  • And much more!

 

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