AI Data & Knowledge Engineer – Senior Associate
Tasks
- Build backend data pipelines to ingest transform and serve structured and unstructured data for AI applications
- Create knowledge graph assets and semantic enrichment
- Develop RAG pipelines and vector indexing workflows
- Optimize pipeline performance, reliability, and scalability
- Participate in code reviews sprint ceremonies and engineering discussions
- Perform data quality checks validation reconciliation and documentation for pipelines and data contracts
- Support ETL ELT workflows across enterprise source systems and data platforms
- Support metadata tagging data modeling ontology creation and semantic enrichment
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Apache Airflow | Apache Spark | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Transformation | Data Warehousing | Data integration | Databricks | ELT | ETL | Java | Knowledge graphs | Lakehouse | Metadata Management | Python | RAG | SQL | Semantic Search | Vector Databases
Education
Roles
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