Senior AI Data Engineer
Tasks
- Build real-time feature pipelines
- Collaborate with cross functional teams to deliver AI data solutions
- Design ETL ELT pipelines for AI workloads
- Enforce data security privacy governance
- Establish data lineage frameworks
- Implement automated data quality validation
- Integrate data platforms with event driven systems
- Manage and optimize feature stores
- Manage data movement across environments
- Optimize vector database storage and retrieval
- Transform unstructured data to structured formats
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Amazon Kinesis | Apache Airflow | Apache Flink | Apache Kafka | Azure | Azure Data | Azure Data Factory | Batch inference | Cloud Dataflow | DBT | Data Factory | Data Governance | Data Lineage | Data Privacy | Data Quality | Data Security | Data Warehousing | Feature Stores | Fine Tuning | GCP | Google Cloud | Google Cloud Dataflow | Java | K8s | Kubernetes | Machine Learning | PII protection | Prefect | Python | RAG | SQL | Scala | Spark Streaming | Vector Databases
Education
Roles
AI Data Engineer | Data Engineer | Engineer | Senior AI Data Engineer
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