Analytics Engineer, Feature Engineering
Tasks
- Collaborate with data scientists to extract features from raw data
- Create features by combining modifying or aggregating existing features
- Develop and maintain datasets using Databricks and Spark
- Evaluate feature quality and impact on model performance
- Maintain curated datasets using Airflow with automated alerting and anomaly detection
- Manage data requirements and minimize technical debt
- Monitor feature drift and update features over time
- Optimize pipeline performance for real time or near real time execution
- Preprocess and transform data for machine learning models
- Troubleshoot data anomalies and pipeline issues
Perks/Benefits
- 401k match
- Dental insurance
- Employee stock purchase program
- Flexible time off
- Medical insurance
- Occasional meals
- Paid parking
- Relocation bonus
- Snacks
- Vision insurance
Skills/Tech-stack
AWS Glue | Apache Airflow | Apache Spark | DBT | Data Quality | Data Warehouse | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Git | Looker | Machine Learning | Python | SQL | Scala | Tableau
Roles
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