Data Engineer AWS
Montréal, Québec, Canada
CAD 90K-115K (estimate) Mid-level Full Time
Tasks
- Automate deployments with infrastructure-as-code
- Build ETL/ELT pipelines
- Contribute to technical code reviews standards and documentation
- Design modern data platforms on AWS
- Develop data ingestion pipelines
- Develop data lake data warehouse lakehouse architectures
- Enforce data quality security governance and observability
- Implement DataOps and DevOps practices
- Implement distributed data processing
- Integrate data sources via REST API
- Mentor junior team members
- Optimize AWS data platform performance reliability and cost
- Orchestrate data workflows
- Participate in agile ceremonies and continuous improvement
- Set up CI/CD pipelines
Perks/Benefits
- 100 percent public transport reimbursement
- Culture and arts reimbursement
- Dental insurance
- Flexible working hours
- Health insurance
- Mentorship
- Paid vacation
- Personal days
- Progressive sick leave
- Sports subscription reimbursement
- Team-building activities
- Telework
- Vision insurance
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon Athena | Amazon EKS | Amazon EventBridge | Amazon MSK | Amazon MWAA | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | DBT | Data Lake | Data Warehouse | DataOps | Databricks | DevOps | Docker | ELT | ETL | Git | Infrastructure as Code | Kafka | Kubernetes | Lakehouse | MLOps | PySpark | Python | REST API | SQL | Scrum | Snowflake | Step Functions | Terraform | “as-code”
Education
N/A
Roles
AWS Data Engineer | Big Data Engineer | Data Engineer | Engineer
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