Lead AI Data Engineer
Tasks
- Build structured and unstructured data ingestion transformations
- Create data services and data products
- Design agentic workflows and RAG architectures
- Design scalable data pipelines for AI and machine learning
- Develop connectors and integrations across enterprise systems
- Ensure privacy security and compliant access patterns
- Establish monitoring and data validation mechanisms
- Implement data governance metadata cataloging and lineage
- Implement robust retrieval integration patterns
- Support AI pilot to enterprise production deployments
Perks/Benefits
- Company hackathons
- Flexible working hours
- Hybrid work
- Medical coverage
- Paid vacation days
- Regular feedback
- Technical trainings
Skills/Tech-stack
APIs | AWS | Airflow | Azure Data | Azure Data Factory | Cloud Computing | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Security | Data integration | Databricks | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | Java | Kafka | Kubernetes | MLOps | Metadata Management | Privacy Compliance | Python | Retrieval-Augmented Generation | SQL | Scala | Semantic Search | Snowflake | Vector Database
Education
Roles
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