Related skills
aws machine learning hadoop spark mlops📋 Description
- Manage a team of 5-8 cloud engineers and architects
- Interface with clients and teams to propose improvements
- Take on hands-on technical responsibilities in sprints
- Lead technical discussions with customers
- Handle code reviews and pull requests
- Kickoff new client engagements and act as escalation point
🎯 Requirements
- Strong AWS data landscape experience
- Relational DB design, optimization and migration
- Big data processing with Spark, Hadoop, EMR
- Machine Learning and MLOps
- Analytics: time series forecasting and statistics
- Data Governance and MDM
🎁 Benefits
- 100% remote
- Flexible Time Off
- Phantom equity
- Exams and certifications paid
- Peer bonus awards
- Equipment stipend and laptop
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