Data Engineer



Data Engineer

Montreal, Quebec  - Permanent


Job Description

Our client works to identify and solve the most complex and highest value business problems that can be addressed through data science techniques. To achieve this, they provide data science, operations research and artificial intelligence solutions and software products to a broad range of industry and technology partners.

In this role, you will work in a client project environment with an AI-Agile Team composed of a Product Manager, consultant, Delivery Team Lead and Data Scientist and contribute to the translation of complex AI/data science algorithms into scalable software.

You will:


•Design, code, create tests, and integrate new features and functionality
•Design, build, and productize complex data pipelines
•Learn the different AI/data science components/models in order for the algorithm to be properly translated in production code
•Participate in scrum project meetings and update stories using project management tools
•Apply CI/CD practices to prevent integration problems as well as ensure that the code is releasable at any point in time
•Participate in the estimation of the Stories based on defined Acceptance Criteria and Definition of Done


Must Have Skills:

•You have 3+ year experience in building B2B solutions in a cloud environment (must have)
•You have experience with Operations Research / Machine Learning / Deep Learning (asset)
•You have experience in Big Data (Hadoop, Spark, Hive) (asset)
•You are a strong full stack developer, fluent in one or more of the prominent tools/platforms and able to implement end-to-end solutions
•You have previous exposure to AI/data science concepts and, with the guidance of seasoned AI/data science engineers, are proficient in the translation of those concepts into production-grade, efficient code (asset).
•Cloud: AWS, Azure or GCP
•Languages: Python, Java, C++, SCALA and Javascript (nice to have)
•Big Data: Hadoop, Spark, Hive
•Relational Database: MySql, PostgresSQL, Oracle, MS-SQL
•NoSql: Cassandra, Elastic Search, Mongo DB


Details:

Starting: ASAP