Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

📋 Description

• Design, build, and scale REST APIs and data pipelines across distributed systems.
• Architect and optimize backend services for high throughput and low latency.
• Develop data-intensive apps using Python, TypeScript, Spark, and AWS.
• Work with Spark, EMR, Glue, Kafka to process very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud.
• Partner with senior engineers, DevOps, and QA across the full life cycle.

🎯 Requirements

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, data pipelines).
• 3+ years of TypeScript / Node.js experience.
• Advanced AWS experience (EC2, EKS, Lambda, S3, DynamoDB, RDS).
• Strong experience deploying and optimizing production workloads on Kubernetes.
• Experience with large datasets, distributed computing, and Spark/Kafka.

🎁 Benefits

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Remote Work Flexibility.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Annual Time Off as per local regulations.