Cloud Data Engineer
Tasks
- Build ETL/ELT workflows
- Conduct post-incident reviews
- Design data pipelines
- Develop data transformation logic
- Document pipelines and models
- Drive automation and toil reduction
- Implement CI/CD pipelines
- Implement alerting and remediation
- Implement data governance
- Implement data ingestion
- Maintain infrastructure-as-code
- Monitor data pipeline health
- Optimize data storage and processing
- Orchestrate data workflows
- Troubleshoot pipeline failures
Perks/Benefits
Skills/Tech-stack
AWS | AWS Athena | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Airflow | Amazon Aurora | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Amazon MSK | Amazon RDS | Amazon Redshift | Amazon S3 | Audit Logging | Bamboo | CI/CD | Confluence | DBT | Data Governance | Data Modeling | Data Quality | Data Warehousing | Data orchestration | DataOps | ELT | ETL | Encryption | GitHub | GitHub Actions | GitLab | GitLab CI | IAM | Infrastructure as Code | Jira | Kafka | Lake Formation | Prefect | PySpark | Python | SQL | Snowflake Schema | Star Schema | Step Functions | Streaming Analytics | Terraform | “as-code”
Education
N/A
Roles
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