Senior Data
2 weeks ago
We are looking for a Data and developer engineer in Montreal. This person be responsible for participate in the conception, development, deployment and optimization of data pipelines, Data Lake, Datawarehouse for varied data integration/ingestion use cases.You will contribute to complex and diverse initiatives though building automated solutions-Including robotic process automation, automating orchestrated jobs, and enhancing other integrations for file transfers, back-end database updates through front-end (vice versa).
Responsibilities:
– Participate in the conception, development, deployment and optimization of data pipelines, Data Lake, Datawarehouse for varied data integration/ingestion use cases (for example: interfaces between systems, IoT data point ingestion);
– Collaborate with Analysts and Architects in the design of Datawarehouse and integration datasets.
– Contribute to brainstorming discussions and solution definition related to information architecture and design, data collection, data analysis methodology, data normalization, enterprise data dictionaries, cross system data integration.
– Performs problem solving and testing of hypotheses and complex analysis of data.
– Performs data modelling for proper analysis and insight.
– Document, and implement best practices.
– Write and maintain unit tests, integration tests and performance tests.
– Analyze, identify, diagnose, document and assist to resolve: Application issues, Data issues
– Deploy and merge solutions using docker.
– Orchestration/DataOps: GitLab/Multiple (Python, Ruby, etc.)
– Orchestration/DataOps: AirFlow/Python
– Orchestration/DataOps: Docker/Multiple (Go, Python, etc.)
– Orchestration/DataOps: SonarQube/Multiple (Java, JavaScript)
– Back-End: uWSGI/Python/C, Lua, Perl, Python, etc.
– Back-End: Django/Python
– Front-End: NGINX/C, Lua, Perl, Python, etc.
Necessary Qualifications:
– Good hands-on data engineering experience:
– Experience on coding with SQL, T-SQL, noSQL, Python, C#
-Building & integrating pipelines.
– Familiar with relational and non-relational databases
– Experience with ELT/ETL: ingestion of disparate systems (through rest API, sftp, SQL databases, etc.) in CSL’s Data Layer (Data Lake / Data Warehouse)
– Automated testing
Nice to have:
– Experience with Agle methodology
– Knowledge of Big data ingestion
– Experience with BI / Analytics
– Bilingue
Job Types: Full-time, Permanent
Schedule:
- Day shift
- Monday to Friday
Work Location: In person
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