Principal Data Engineer
Tasks
- Collaborate with product analytics and operations on data initiatives
- Communicate architectural trade offs to stakeholders
- Conduct proof-of-concept evaluations
- Define data engineering standards and best practices
- Design and implement production data platforms
- Evaluate and recommend data engineering technologies
- Improve data quality and reliability
- Own data pipeline design and architecture
- Participate in architecture and design reviews
- Provide technical mentorship and code review
- Resolve data platform scalability issues
- Share technical learnings with the team
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Batch Processing | BigQuery | DBT | Data Architecture | Data Engineering | Data Warehousing | Databricks | GCP | Java | Lakehouse | MLOps | Pipeline engineering | Python | Redshift | SQL | Scala | Snowflake | Snowflake ML | Snowpark | Stream processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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