Director Analytics Infrastructure, Pipeline Operations
Tasks
- Build centralized feature stores
- Create curated data repositories for training evaluation and serving
- Deploy monitoring and observability for data pipelines
- Design self healing data pipelines for data quality monitoring
- Develop automated feature engineering pipelines with lineage tracking
- Establish data availability freshness and quality SLAs
- Implement anomaly detection and remediation
- Implement self service data access layers for independent querying
- Integrate diverse data sources into pipelines
- Optimize analytics platform architecture for ML workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon SageMaker | Amazon SageMaker Feature Store | Anomaly Detection | Apache Spark | Automl | CI/CD | DBT | Data Governance | Data Privacy | Data Quality | Data orchestration | Databricks | Deep learning | Feast | Feature Store | GDPR | Google BigQuery | HIPAA | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Prefect | PySpark | Python | SQL | SageMaker | SageMaker Feature Store | Snowflake | Tecton | Time Series
Education
Regions
Countries
States
Cities
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