Principal, Cloud Data Engineer
Tasks
- Build data pipelines
- Create reusable workflow automation
- Design cloud data platforms
- Enable analytics and AI ML workloads
- Enforce security compliance and audit controls
- Establish CI/CD pipelines
- Evaluate and recommend emerging cloud services
- Implement data governance and cataloging
- Implement disaster recovery backup and failover
- Integrate cloud data services with enterprise systems
- Manage monitoring, alerting, and troubleshooting
- Mentor junior engineers
- Optimize ingestion transformation processing
- Optimize performance, cost, and scalability
- Provide technical architecture expertise
Perks/Benefits
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Glue | Access Control | Amazon Athena | Amazon S3 | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Audit Logging | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Dataflow | DBT | Data Catalog | Data Factory | Data Lineage | Data Quality | Databricks | Disaster Recovery | Docker | Encryption | FinOps | Google BigQuery | Google Cloud | Google Cloud Dataflow | Infrastructure as Code | Java | Kafka Connect | Kubernetes | Pulumi | Python | Redshift | Role-Based Access | Role-Based Access Control | SQL | Scala | Snowflake | Synapse Analytics | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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