Junior Data Engineer
Tasks
- Build and scale data pipelines
- Collaborate on proof of concept
- Create technical documentation
- Develop automation and monitoring frameworks
- Develop reusable packages and libraries
- Ensure data security and governance
- Implement real-time and batch data processing
- Measure pipeline performance with KPIs
- Migrate data platforms to Google Cloud
- Modernize applications and pipelines
- Optimize procedures to move data to production
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Spark | Azure Event | Azure Event Hubs | Batch Data Processing | Batch data | CI/CD | Cloud platform | Compliance | DB2 | Data Governance | Data Processing | Data Quality | Data Security | DevOps | Event Hubs | Google Cloud | Google Cloud Platform | Informatica DataStage | Infrastructure as Code | Kafka | Oracle | Python | Real Time | Real-time Data | Real-time Data Processing | Scala | Talend | Teradata | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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