Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)
Related skills
aws python kubernetes typescript kafka📋 Description
- Design, build, and scale REST APIs and large data pipelines.
- Work with Python, TypeScript, Spark, and AWS-native services.
- Build backend services and cloud-native data platforms.
- Collaborate with senior engineers, DevOps, and QA throughout the lifecycle.
- Mentor developers and raise engineering quality standards.
🎯 Requirements
- 7+ years backend or full-stack with backend focus.
- 7+ years Python (APIs, automation, data pipelines).
- 3+ years TypeScript/Node.js.
- Advanced AWS experience: EC2, EKS, Lambda, S3, DynamoDB.
- Strong Kubernetes experience in production.
- Large datasets: Spark, EMR, Glue, Kafka.
🎁 Benefits
- Market-leading compensation package
- Wellness programs for health and wellbeing
- Fully remote with flexible hours
- Global culture with hubs in multiple regions
- Generous annual paid time off
- Comprehensive medical, dental, and vision insurance
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