Data Engineer
Tasks
- Build data storage and sharing systems
- Conduct code reviews
- Design data ingestion systems
- Develop ETL/ELT pipelines
- Ensure system integration and synchronization
- Implement data processing systems
- Implement monitoring and alerting
- Maintain data quality and security
- Optimize data architectures
- Troubleshoot software defects
Perks/Benefits
- Agile/Scrum environment
- Flexible schedule
- Flexible working hours
- Hybrid workplace
- Remote workplace
- Technical equipment
Skills/Tech-stack
Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Cloud platform | DBT | Data Warehousing | DevOps | Docker | Event Driven | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Message-based | Message-based integration | Microsoft Azure | NoSQL | Python | Real Time | Real-time integration | SQL | Snowflake | Time integration | Web Services | “as-code”
Education
N/A
Roles
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