Senior Product Data Engineer
Tasks
- Build and optimize ETL/ELT pipelines
- Collaborate with engineers across data teams
- Design customer-facing data products
- Develop AI assisted search and recommendations
- Develop distributed data processing systems
- Ensure system reliability, scalability, and maintainability
- Extract creator demographics collaborations interests behavioral insights
- Own projects from architecture through deployment monitoring
- Transform raw social media signals into insights and APIs
- Use LLMs and embeddings for machine learning workflows
Perks/Benefits
- Async-friendly culture
- Flexible working hours
- Fully remote
- Minimal bureaucracy
- Personal development support
- Unlimited paid vacation
Skills/Tech-stack
AWS ECS | AWS EMR | AWS Glue | AWS Lambda | Airflow | Amazon Athena | Amazon S3 | Data Processing | Databricks | Distributed Systems | ELT | ETL | Embeddings | GCP Vertex | GCP Vertex AI | LLM | LLM-powered search | Machine Learning | PySpark | Recommendation Systems | Scala | Spark | System design | Unstructured Data | Unstructured Data Processing | Vertex AI
Education
N/A
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