Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)
Tasks
- Architect backend services for high throughput and low latency
- Automate deployments and manage CI CD with Kubernetes workflows
- Build and scale large scale data processing pipelines
- Collaborate with architects DevOps and QA
- Design build and scale REST APIs
- Develop data intensive and event driven applications
- Improve system performance reliability and scalability
- Mentor developers and conduct code reviews
- Process and transform large datasets with Spark
Perks/Benefits
- Annual time off
- Continuous development opportunities
- Employee insurance coverage
- Global Connected Culture
- Remote work flexibility
- Wellness programs
- Work-life balance
Skills/Tech-stack
AWS | AWS EMR | AWS Glue | AWS Lambda | AWS Step Functions | Amazon DynamoDB | Amazon EC2 | Amazon EKS | Amazon RDS | Amazon S3 | Apache Kafka | Apache Spark | CI/CD | Dask | Distributed Systems | Event Driven | Event-driven architecture | Kubernetes | Microservices | Node.js | Python | REST API | Serverless Framework | Step Functions | System design | Terraform | TypeScript
Education
N/A
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