Principal Data Engineer (Python, Snowflake, AWS & DBT) - AI, Data & Platforms
Tasks
- Build data ingestion frameworks from structured and unstructured sources
- Collaborate with analytics data science and product teams on data requirements
- Design data pipelines for batch and real-time processing
- Develop and optimize ETL ELT workflows with dbt
- Implement data governance documentation and lineage
- Implement data quality integrity availability and security controls
- Model data for analytics and reporting using dimensional modeling
- Monitor and troubleshoot data pipelines performance and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | CI/CD | DBT | Dagster | Data Governance | Data Observability | Data Warehousing | Dimensional Modeling | Flink | Git | Java | Kafka | Kinesis | Lakehouse | Python | SQL | Scala | Snowflake | Snowflake Schema | Spark | Star Schema
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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