Principal Data Engineer
Tasks
- Apply machine learning operations practices
- Assemble large datasets
- Build data extraction, transformation, loading infrastructure
- Design data pipeline architecture
- Develop analytics tools and dashboards
- Enhance data quality with data strategy and governance
- Ensure data quality and accuracy
- Implement data integration and governance practices
- Improve data delivery scalability through automation
- Manage cloud data management platforms
- Oversee secure data collection storage access processes
- Support stakeholders with data infrastructure issues
Perks/Benefits
- Accident insurance
- Coaching
- Health insurance
- In-depth training
- Life insurance
- Manager support
- Network-building opportunities
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Big Data | Cloud Computing | Data Architecture | Data Modeling | Data Security | Data Warehousing | Data integration | Deep learning | LLMOps | MLOps | Machine Learning | Python | RAG | Real Time | Real-time Processing | Scala | Streaming | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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