Data Engineer, Product
Tasks
- Collaborate with machine learning engineers on data requirements
- Design scalable ETL/ELT pipelines
- Develop data transformation workflows for feature engineering
- Ensure data quality, governance, and monitoring
- Optimize batch and near real time processing performance
- Own end-to-end data workflows
- Support experimentation personalization and ML driven product innovation
- Transform raw data into high quality datasets
Perks/Benefits
- Additional paid leave
- Employee stock options
- Learning and development budget
- Location Autonomy
- Paid volunteering
- Performance bonuses
- Referral rewards
- Remote While Traveling
- Remote-first
Skills/Tech-stack
Apache Spark | Data Governance | Data Modeling | Data Monitoring | Data Quality | Databricks | ELT | ETL | Feature Engineering | Feature Stores | Flink | Kafka | Machine Learning | Python | Recommendation Systems | SQL | Streaming
Education
N/A
Roles
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