Data Engineer, Product
Tasks
- Build and maintain data transformation workflows
- Collaborate with machine learning engineers on data requirements
- Design ETL ELT data pipelines
- Enable experimentation personalization and ML driven product innovation
- Ensure data quality, governance, and monitoring
- Improve performance scalability and efficiency of data processing
- Optimize feature engineering for offline training and online inference
- Own end to end data workflows deployment monitoring and improvement
Perks/Benefits
- Additional paid leave
- Employee stock options
- Opportunity to work remotely while traveling
- Paid volunteering opportunities
- Performance bonuses
- Personal learning budget
- Professional development budget
- Referral rewards
- Remote-first flexible work
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | Data Governance | Data Modeling | Data Monitoring | Data Quality | Databricks | ELT | ETL | Feature Engineering | Feature Store | Machine Learning | Predictive Modeling | Python | Recommendation Systems | SQL | Streaming
Education
N/A
Roles
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