Senior DataOps Engineer
Tasks
- Assist developers with deployments
- Automate deployments
- Build CI/CD pipelines
- Deploy and monitor data processing workflows
- Harden cloud infrastructure
- Investigate and resolve data pipeline issues
- Maintain Infrastructure as Code templates
- Manage cloud infrastructure costs
- Monitor pipelines and systems
- Operate distributed data processing environments
- Orchestrate data pipelines
- Perform root cause analysis
- Promote DataOps best practices
- Provision cloud based Spark clusters
- Respond to incidents
- Tune performance
- Write test and maintain data pipelines
Perks/Benefits
- Employee assistance program
- Flexible Time Away From Work
- Health & medical benefits
- Learning budget
- Life and disability
- PTO
- Personal days
- RRSP TFSA 401K employee contribution
- Remote work environment
- Sick days
Skills/Tech-stack
AWS CloudFormation | Amazon EMR | Amazon Web Services | Ansible | Apache Airflow | Apache Spark | Azure Resource | Azure Resource Manager | Azure Resource Manager Templates | CI/CD | Cloud Dataproc | Cloud platform | Databricks | Docker | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Dataproc | Google Cloud Platform | Java | Jenkins | Kubernetes | Linux | Microsoft Azure | OCI | Prefect | Python | Resource Manager Templates | Scala | Terraform | Web Services
Education
N/A
Roles
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