Software Engineering Applications
Tasks
- Apply generative AI and retrieval augmented generation to analytics
- Build and maintain custom engineering frameworks
- Build and maintain data pipelines at scale
- Collaborate with data scientists and analytics consumers
- Deploy data quality checks
- Design low latency fault tolerant and available applications
- Develop scalable batch and streaming analytics platforms
- Document technical designs and implementations
- Use continuous integration and automated testing
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Spark | Continuous integration | Data Pipelines | Data Quality | Docker | ETL | Generative AI | Kubernetes | LLM | Lakehouse | Model Context Protocol | Retrieval-Augmented Generation | Snowflake | Test-Driven | Test-Driven Development | Trino
Education
N/A
Roles
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