Senior AI Data Engineer
Tasks
- Automate ingestion transformation monitoring and alerts
- Build maintain data warehouses and semantic layers
- Collaborate with product design analytics stakeholders
- Create dashboards and operational reporting
- Design, develop, maintain ETL/ELT pipelines
- Develop AI enabled workflow pipelines
- Develop data quality validation frameworks
- Drive initiatives from planning to deployment
- Ensure security governance privacy compliance
- Evaluate adopt generative AI technologies
- Execute validation and testing processes
- Maintain technical documentation
- Optimize data infrastructure performance and cost
- Own full lifecycle data solutions
- Participate in PR reviews and engineering governance
- Support batch and near real time processing
- Work in agile delivery environment
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | Apache Airflow | Apache Flink | Apache Spark | CI/CD | DBT | Data Architecture | Data Modeling | Data Quality | Data Testing | Data Warehousing | Dimensional Modeling | ELT | ETL | Embeddings | Fivetran | Git | Kafka | LLM | Power BI | Prompt engineering | Python | QA Automation | SQL | Snowflake | Streaming | Streamlit | Tableau | Vector Databases
Education
N/A
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