Data Platform Engineer
Tasks
- Apply AI enabled engineering practices
- Automate engineering workflows
- Build CI/CD pipelines
- Collaborate with Data Engineering Analytics Data Science teams
- Create infrastructure as code
- Design enterprise data platform
- Develop reusable platform services
- Enhance data ingestion transformation analytics consumption layers
- Evaluate emerging technologies proof of concept
- Implement cloud native platform patterns
- Improve observability, monitoring, alerting
- Partner with infrastructure DevOps teams
- Support platform operations excellence
Perks/Benefits
- Flexible work arrangements
- Paid parental leave
- Paid volunteering days
- Part-time options
- Professional development reimbursement
- Retail discounts
- Return to work support
- Subsidised qualifications
- Wellbeing leave
Skills/Tech-stack
Alerting | Apache Airflow | Automation | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Bash | Bicep | CI/CD | DBT | Data Factory | GitHub Actions | Infrastructure as Code | Kafka | Microsoft Fabric | Monitoring | Observability | Powershell | Python | Snowflake | Synapse Analytics | Terraform | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Engineering Technology | Bachelor of Science | Master of Science
Roles
Data Platform | Data Platform Engineer | Engineer | Platform | Platform Engineer
Regions
Countries
States
Cities
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