Data Engineer, Battery Data Platform & AI
Tasks
- Build natural language interface to data
- Build production data pipelines
- Create eval frameworks for AI agents
- Create stored procedures and materialized views
- Design agentic search and domain knowledge
- Develop MCP server and agentic tools
- Develop database objects using DML and DDL
- Ensure data reliability with SLAs
- Expand battery data warehouse
- Implement AI security for LLM systems
- Implement orchestration for batch and streaming pipelines
- Integrate structured, semi-structured, and unstructured data
- Model and design database schemas
- Process data using batch and stream processing
Perks/Benefits
- N/A
Skills/Tech-stack
ACID | AWS | Airflow | Audit trails | Batch Processing | Context engineering | DDL | DML | Data Modeling | ELT | ETL | Embeddings | Evaluation Frameworks | Indexing | Injection Defense | Java | JavaScript | LLM | Language Processing | MCP | Materialized views | Natural Language | Natural Language Processing | Normalization | OLAP | OLTP | Prompt injection | Prompt injection defense | Python | SQL | Schema Design | Snowflake | Stored Procedures | Stream processing | Tokenization
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
Cities
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