Senior Data Platform Engineer (Spark, AWS, Apache Iceberg, Production Systems)
EUR 56K-85K (estimate) Senior-level Full Time
Tasks
- Design build maintain high scale data ingestion pipelines
- Develop reliable scalable backend services
- Diagnose resolve system failures end to end
- Ensure scalability availability latency security and compliance
- Evaluate adopt new technologies and drive operational excellence
- Implement unit integration and end to end tests in CI CD
- Lead system design architecture discussions and code reviews
- Mentor teammates and share engineering testing best practices
Perks/Benefits
- Career development
- Dental plan
- Financial planning resources
- Flexible-hybrid work
- Income protection
- Life assurance
- Maternity leave
- Mentorship opportunities
- Paternity leave
- Pension scheme
- Private health insurance
- Remote flexibility
- Wellness support
Skills/Tech-stack
AWS CloudFormation | AWS Glue | AWS Lake Formation | AWS Lambda | Alerting | Amazon IAM | Amazon S3 | Amazon SNS | Amazon SQS | Amazon Web Services | Apache Iceberg | Apache Spark | CI/CD | Code review | Data Catalog | Data Governance | Data Lake | Data Modeling | Distributed Systems | ETL | End to End | End-to-End Testing | Fault Tolerance | Git | Gradle | HIPAA | Integration Testing | Java | JavaScript | Lake Formation | Logging | Maven | Messaging Systems | Microservices | Monitoring | PySpark | Pytest | Python | REST API | Scala | Serverless | Synchronization | Tox | Unit Testing | Web Services
Education
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