Product Marketing Customer Analytics Engineer
Tasks
- Apply generative AI and RAG techniques for analytics
- Build and improve data pipelines with Spark and Trino
- Build and maintain custom analytics frameworks
- Collaborate with analysts and data scientists on data engineering problems
- Create and consume Model Context Protocol services
- Deploy data quality checks
- Design scalable low latency fault tolerant applications
- Develop and automate analytics platforms batch and streaming
- Implement continuous integration and test methodologies
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Availability | Continuous integration | Data Pipelines | Data Quality | Docker | ETL | Fault Tolerance | Generative AI | Kubernetes | LLM | Lakehouse | Low Latency | Model Context Protocol | Python | Retrieval-Augmented Generation | Snowflake | Spark | Technical writing | Test-Driven | Test-Driven Development | Trino
Education
Roles
Regions
Countries
States
Cities
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