AI Data Foundation Engineer
India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build ingestion transformation storage pipelines
- Create data contracts and schemas
- Design pipeline and schema
- Execute AI assisted development workflows
- Gather data requirements
- Implement agentic workflows
- Implement data quality frameworks
- Integrate source systems with knowledge graphs and inference engines
- Maintain knowledge graphs and ontologies
- Orchestrate data pipelines
- Set up data validation versioning observability
- Standardize data engineering SDLC
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Kafka | Apache Spark | CI/CD | Chunking | Cloud Composer | Cloud Dataflow | Cloud PubSub | Cloud Storage | Cypher | Dagster | Data Catalog | Data Contracts | Data Modeling | Data Observability | Data Validation | Data Versioning | Data Warehousing | Dimensional Modeling | Embeddings | GCP | Google BigQuery | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Google Cloud PubSub | Google Cloud Storage | Graph Databases | Graph Query | Graph Query Language | Gremlin | Knowledge graph | LLM | LLM-based tools | Metadata Management | Ontology | Python | Query Language | RAG | Relational databases | Retrieval-Augmented Generation | SQL | Vector Databases
Education
Language: en
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