Senior (Lead) Platform Data Engineer
Tasks
- Apply version control and CI CD workflows
- Automate recurring data processes
- Build and maintain data pipelines
- Communicate architectural trade-offs
- Deliver pipelines to production
- Design data architecture and processing flows
- Gather technical requirements
- Implement data quality and validation checks
- Implement infrastructure-as-code
- Instrument monitoring and metrics
- Own controlled reproducible environments
- Process and move large datasets
- Provision and manage cloud resources
- Troubleshoot data quality and integration issues
- Write automated tests
Perks/Benefits
- Equity program
- Healthcare
- Home internet connection
- Hybrid working
- Phone plan
- Referral bonus
- Relocation support
Skills/Tech-stack
Apache Spark | Automated testing | Azure | Azure Synapse | CI/CD | DBT | Data Modeling | Data Quality | Databricks | ELT | Git | Infrastructure as Code | Monitoring | Python | SQL | Semantic Modeling | “as-code”
Education
N/A
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