AWS Cloud Engineer
Tasks
- Automate infrastructure deployments
- Build ETL and ELT pipelines
- Collaborate with stakeholders on data requirements
- Define SLAs SLIs and SLOs
- Design real time and batch ingestion architectures
- Develop CI/CD pipelines for data applications
- Ensure data governance and lineage
- Implement data lakehouse architecture
- Implement fine grained access control and encryption
- Implement partitioning indexing and caching
- Optimize queries for performance and cost
- Set up monitoring logging and alerting
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Redshift | Amazon S3 | Amazon Web Services | Apache Airflow | Apache Flink | Apache Iceberg | Apache Spark | Batch Processing | CloudWatch | Cost Optimization | Dagster | Data Governance | Data Lake | Data Lineage | Data Modeling | Data masking | Datadog | Dimensional Modeling | ELT | ETL | Elasticsearch | Encryption | Event Driven | Event-driven architecture | Git | IAM | Indexing | Infrastructure as Code | Kinesis | Lakehouse | Metadata Management | Microservices | Normalized modeling | Partitioning | PostgreSQL | Python | Query Optimization | RBAC | Real Time | Real-time Processing | Redshift Spectrum | SQL | Step Functions | Terraform | Time processing | Web Services | Workflow Orchestration | “as-code”
Education
N/A
Roles
AWS Cloud Engineer | Cloud Engineer | Data Engineer | Engineer
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