Principal Engineer
Tasks
- Apply Data Governance policies
- Assemble complex data sets
- Automate manual processes
- Build analytics tools for business metrics
- Build data extraction, transformation, and loading infrastructure
- Design and implement data pipeline architecture
- Develop data integration plans
- Ensure data quality and accuracy
- Implement cloud data management platforms
- Manage data across unified data tier
- Optimize data delivery
- Oversee data collection practices
- Redesign infrastructure for scalability
- Suggest data quality enhancements
- Support stakeholders with data issues
Perks/Benefits
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Big Data | Cloud Computing | Data Architecture | Data Engineering | Data Modeling | Data Security | Data Warehousing | Data integration | Deep learning | LLMOps | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Python | RAG | Real Time | Real-time Streaming | Scala
Education
Roles
Architect | Data Architect | Data Engineer | Engineer | Principal | Principal Data Engineer
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