Data Engineer
Tasks
- Build data governance artifacts
- Build data products
- Collaborate with stakeholders to translate requirements
- Design and maintain secure data APIs
- Design cloud-native data architectures
- Design scalable data platforms
- Develop data ingestion pipelines
- Develop data transformation pipelines
- Implement API security and rate limiting
- Implement API versioning and documentation
- Implement access controls and encryption
- Implement data quality validation
- Model relational dimensional data
- Optimize data pipeline performance
- Support automated testing and monitoring
- Support metadata and data cataloging
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Airflow | Amazon Web Services | Apache Spark | Authentication | Authorization | Azure | CI/CD | Cloud platform | Data Catalog | Data Governance | Data Lake | Data Lakehouse | Data Modeling | Data Quality | Data Warehousing | Data fabric | Data mesh | Databricks | Dimensional Modeling | ELT | ETL | Encryption | Google Cloud | Google Cloud Platform | GraphQL | Java | Kafka | Metadata Management | Microservices | Monitoring | Observability | OpenAPI | Python | R | REST | SQL | Scala | Snowflake | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Analytics | Bachelor of Science in Data Science | Bachelor of Science in Information Computer Science
Roles
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