Senior Data Engineer
Tasks
- Apply infrastructure as code
- Build ingestion pipelines
- Contribute to architecture decisions
- Coordinate event driven workflows
- Design batch data pipelines
- Develop ETL workflows
- Implement data quality and lineage
- Improve performance and scalability
- Integrate data workflows with backend microservices
- Maintain analytical data models
- Manage CI CD security and governance
- Mentor engineers
- Optimize analytical queries
- Set up observability monitoring and alerting
Perks/Benefits
- Collaborate with international team
- Flexible working environment
- Fully remote
- Home office arrangement
- Professional growth opportunities
- Work on large-scale data platforms
Skills/Tech-stack
AWS DMS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon ECS | Amazon Redshift | Amazon S3 | Apache Spark | AppFlow | CI/CD | ClickHouse | Data Governance | Data Modeling | Data Quality | Docker | Event Driven | Event-driven architecture | EventBridge | Infrastructure as Code | Java | Microservices | Python | SQL | SQS | Security | Step Functions | “as-code”
Education
N/A
Roles
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