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aws r sql python airflow📋 Description
- Design scalable data architectures for analytics and ML.
- Lead R&D for novel data sources and PoCs viability.
- Oversee ingestion of high-quality data into production.
- Bridge R&D and Production with API/interface design.
- Define standards for experiments, metrics and validation.
🎯 Requirements
- 6+ years in Data Science/Data Engineering; 2+ years in leadership.
- Tech stack: Python, R, SQL; AWS.
- Big Data: Spark, Kafka; Orchestration: Airflow; MLOps.
- Strong data modeling; SQL/NoSQL; ML deployment.
- Translate complex tech into business value.
- Experience bridging R&D and production.
🎁 Benefits
- Modern Health for wellness.
- 401(k) retirement plan with local pension.
- Unlimited vacation and flexible hours.
- Comprehensive medical benefits for you and family.
- Wellness reimbursement and EAP support.
- Office snacks and meals in select locations.
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