AI Data Engineer
Tasks
- Build dashboards and KPI reporting
- Collaborate in Agile development and perform PR technical reviews
- Conduct validation and testing across pipelines transformations and dashboards
- Create data quality validation monitoring and alerting
- Design AI enabled workflows including prompt pipelines and enrichment
- Develop scalable ETL ELT pipelines and data warehouses
- Drive automation across development QA monitoring and documentation
- Ensure compliance with security governance privacy and regulatory standards
- Implement near real time data flows
- Optimize data infrastructure for performance cost scalability and reliability
- Own data solution lifecycle including ingestion transformation modeling visualization automation monitoring
- Partner with business stakeholders to define KPIs and translate requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Airflow | Alerting | CI/CD | DBT | Data Architecture | Data Modeling | Data Quality | Data Testing | Data Warehousing | Dimensional Modeling | Dimensional data | Dimensional data modeling | ELT | ETL | Embeddings | Fivetran | Flink | Git | Kafka | LLM | Monitoring | Power BI | Prompt engineering | Python | QA Automation | SQL | Snowflake | Spark | Streaming Architecture | Streamlit | Tableau | Vector Databases
Education
N/A
Roles
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