Senior Data Engineer
Tasks
- Apply infrastructure as code
- Build ETL workflows
- Build event-driven architectures
- 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 observability, monitoring, and alerting
- Improve performance and scalability
- Integrate data workflows with microservices
- Maintain data ingestion pipelines
- Mentor engineers
- Optimize analytical queries
Perks/Benefits
- Flexible working environment
- Fully remote
- Home office
- International team collaboration
- Professional growth
- Technical strategy influence
Skills/Tech-stack
AWS AppFlow | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon DMS | Amazon ECS | Amazon Redshift | Amazon S3 | Amazon SQS | Apache Airflow | Apache Spark | CI/CD | ClickHouse | Data Governance | Data Modeling | Data Observability | Docker | EventBridge | Infrastructure as Code | Java | Microservices | Python | SQL | Step Functions | “as-code”
Education
N/A
Roles
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