Data Engineer

Responsibilities:

• Design, implement and maintain highly available data pipelines across different SQL, NoSQL, Cloud and On premise data systems
• Automate repetitive tasks, provide the tools to the developers to become autonomous
• Automate to build infrastructure
• Work closely with developers and project owner to design and architect best solutions to fit their needs
• Handling daily issues (Blocking, long running Transactions, Deadlocks, etc.)
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Define and document standards and guidelines

Desired Profile:

• Able to prioritize, coordinate and manage multiple tasks and projects in a fast-paced environment
• Able to analyze, solve, and correct issues in real time
• Team player and "get-it-done" personality
• Excellent organizational, verbal, and written communication skills
• Fluent in English, French is a big plus

Technical requirements

• Proven work experience as data engineer
• Expertise in TSQL (min 3 years)
• Expertise in Powershell or Python
• Expertise in SSIS and good knowledge of SSAS / ETL / Data Warehousing
• Experience in Azure data solutions
• Experience in Power Bi
• Willingness to learn and operate other data platform such as Redis, Kafka, Elasticsearch, TimeSeries DB, etc.

Nice to have:

• Knowledge of Big data principles
• Knowledge of one or more of the following Redis, Kafka, Elasticsearch, TimeSeries DB, Grafana, MySQL, PostgreSQL