AI Data Engineer
Tasks
- Build ETL pipelines for structured and unstructured data
- Build monitoring and alerting for pipeline failures
- Collaborate with technical and non technical teams for data integration
- Define and enforce data quality SLAs
- Detect anomalies and prevent biased data
- Detect data drift and schema changes
- Ensure data availability data reliability and integrity
- Execute data cleaning and transformation
- Implement automated data quality checks and validation rules
- Implement data retention and data lineage
- Implement preventative controls
- Optimize pipelines for AI model training
- Perform root cause analysis for data quality incidents
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Batch Processing | CCPA | CPRA | DBT | Data Drift | Data Governance | Data Lineage | Data Monitoring | Data Privacy | Data Processing | Data Quality | Data Security | Data Transformation | Data cleaning | Data pipeline | ETL | Fivetran | GDPR | Hadoop | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Schema Change | Snowflake | Spark | Streaming Data | Tableau
Roles
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