Mid Software Engineer
Tasks
- Build data ingestion engines ETL pipelines and data platforms
- Contribute to architecture and design of software systems
- Develop scalable real-time and batch data processing solutions
- Ensure data security privacy and best practices
- Mentor peers and share technical knowledge
- Participate in on-call rotations
- Perform code reviews and promote maintainability
- Troubleshoot production issues and improve performance reliability and operations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Algorithms | Apache Airflow | Apache Beam | Apache Spark | Batch Processing | Cats | Cloud platform | Code review | Data Engineering | Data Ingestion | Data Structures | Distributed Systems | Docker | ETL | FS2 | Google BigQuery | Google Cloud | Google Cloud Platform | Google Dataflow | HTTP4S | Java | Kubernetes | Machine Learning | Python | Real Time | Real-time Processing | SBT | SQL | Scala | Time processing
Education
N/A
Roles
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