Lead Cloud Data Engineer - Multi-Cloud Data Platforms
Tasks
- Build and maintain multi-cloud data pipelines
- Define data engineering best practices
- Design cloud native data pipelines and data products
- Enable secure data sharing across domains
- Implement batch and streaming data processing
- Implement scalable and resilient data solutions
- Implement secure data access patterns
- Modernize and migrate legacy data platforms to cloud
- Operate enterprise data products
- Promote CI CD testing and observability
- Support and mentor engineers through design reviews and code reviews
- Translate business requirements into data sets
Perks/Benefits
- 401k matching
- Adoption Assistance
- Healthcare coverage
- Life insurance
- Paid Holidays
- Paid vacation
- Parental leave
- Sick and Safe Leave
Skills/Tech-stack
API Gateway | AWS Glue | AWS SQS | Amazon S3 | Analytical modeling | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Cost Optimization | Data Architecture | Data Catalog | Data Factory | Data Lake Storage | Data Lineage | Data Modeling | Data mesh | Databricks | Delta Lake | Dimensional Modeling | Domain Driven Data Architecture | IAM | JWT | Kafka | MTLS | Metadata Management | OAuth 2.0 | Observability | Performance Tuning | Power BI | RBAC | REST | RabbitMQ | SQL | Snowflake | Snowpipe | Synapse Analytics | TLS | Tableau | Testing
Education
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