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

Salary and compensation

$70,000 — $120,000/year