Principal Data Engineer
Tasks
- Build ingestion frameworks for APIs event streams and file imports
- Define data modelling and transformation standards
- Design build and oversee scalable data pipelines
- Implement data quality testing observability and lineage frameworks
- Lead Data platform architecture
- Lead architecture reviews and cross functional initiatives
- Optimize platform performance scalability resilience and operations
- Provide technical leadership and mentor data engineers
Perks/Benefits
- Career Development Programs
- Health and wellbeing benefits
- Hybrid work schedule
- Work-life flexibility
Skills/Tech-stack
AWS | Airflow | Automation | Azure | CI/CD | CloudFormation | DBT | Dagster | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Processing | Data Quality | Data orchestration | DataOps | Distributed data | Distributed data processing | ELT | ETL | Google Cloud | Infrastructure as Code | Kafka | Kinesis | Prefect | PubSub | Python | SQL | Snowflake | Terraform | Testing | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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