M60 - Full Stack Engineer
Tasks
- Build and maintain data quality observability and governance infrastructure
- Collaborate with stakeholders on platform and deployment decisions
- Contribute to product and platform architecture
- Design data models and storage architectures
- Design extensible systems for AI retrieval based features
- Ensure data sensitivity compliance in regulated environments
- Make technical decisions and escalate trade offs
- Own end to end design and delivery of data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Backend Development | Batch Processing | Cloud Data | Cloud Data Platforms | Data Governance | Data Modeling | Data Observability | Data Quality | Data pipeline | Data platforms | Databricks | Delta Lake | ELT | ETL | Lakehouse Architecture | Machine Learning | Streaming processing | System Architecture | Unity Catalog | Vector Databases
Education
N/A
Roles
Engineer | Full Stack | Full Stack Engineer | Software Engineer | Stack Engineer
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