Senior Data Engineer
Tasks
- Apply infrastructure as code
- Build ETL workflows
- Build query layers
- Collaborate on backend APIs
- Contribute to architecture decisions
- Design batch data pipelines
- Develop analytical data models
- Ensure data quality and lineage
- Handle sensitive data
- Implement CI CD security and governance
- Implement event-driven architectures
- Integrate data workflows with backend microservices
- Mentor engineers
- Optimize performance and scalability
- Own data ingestion pipelines
- Set up observability monitoring and alerting
Perks/Benefits
- Flexible working environment
- Fully remote work
- International team collaboration
- Professional growth opportunities
Skills/Tech-stack
AWS DMS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon ECS | Amazon Redshift | Amazon S3 | Apache Spark | AppFlow | Batch Processing | CI/CD | ClickHouse | Data Lineage | Data Modeling | Data Quality | ETL | Event Driven | Event-driven architecture | EventBridge | Governance | Infrastructure as Code | Java | Microservices | Monitoring | Observability | Python | SQL | SQS | Security | Step Functions | “as-code”
Education
N/A
Roles
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