Principal Data Engineer
Tasks
- Build ingestion frameworks for APIs event streams file imports and third party sources
- Define data modeling transformation orchestration governance standards
- Design build and oversee scalable batch streaming event driven data pipelines
- Develop data models and schemas for analytics business intelligence operational systems machine learning
- Drive DataOps practices including CI CD testing automation and version control
- Implement data quality testing observability lineage frameworks
- Lead enterprise data platform architecture
- Mentor data engineers and conduct architecture reviews
- Optimize platform performance scalability resilience and operational efficiency
- Partner with stakeholders to deliver data solutions and influence technical decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Automation | Azure | CI/CD | CloudFormation | DBT | Dagster | Data Catalog | Data Governance | Data Lineage | Data Quality | DataOps | ELT | ETL | GCP | Infrastructure as Code | Kafka | Kinesis | Metadata Management | Observability | 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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