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
Data source
Stack Overflow