Backend Engineer II – Data Platform
Tasks
- Architect backend services
- Build event-driven architectures
- Build scalable data pipelines
- Collaborate on data models
- Deliver end-to-end features
- Design database schemas
- Develop ETL/ELT processes
- Implement modular scalable services
- Integrate Kafka or RabbitMQ
- Perform exploratory data analysis
- Profile and tune backend performance
- Write integration tests
- Write optimized SQL queries
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Redshift | Apache Airflow | Apache Kafka | CI/CD | Data Modeling | Data Warehousing | Databricks | Distributed Systems | Docker | DynamoDB | ELT | ETL | Elasticsearch | GDPR | Google BigQuery | HIPAA | Infrastructure as Code | Integration Testing | Java | Kubernetes | MongoDB | MySQL | PostgreSQL | Python | RabbitMQ | SQL | Snowflake | Spark | Spring Boot | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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