Senior Data Engineer
Tasks
- Apply security best practices
- Build data services and APIs
- Build infrastructure as code
- Build lakehouse solutions
- Design Azure Data Platforms
- Design scalable batch data pipelines
- Design scalable streaming data pipelines
- Develop ETL ELT architectures
- Develop Spark Structured Streaming solutions
- Implement Delta Lake data pipelines
- Implement Slowly Changing Dimensions
- Implement data quality controls
- Implement dimensional data models
- Implement logging, monitoring, and metrics
- Implement schema evolution
- Optimize Spark application performance
- Support CI/CD automation
Perks/Benefits
- Education budget
- Employee referral program
- Hardware budget
- Health management scheme
- International network
- Life insurance
- Lunch vouchers
- Private health insurance
- Team events
- Vacation days
Skills/Tech-stack
Apache Hudi | Apache Iceberg | Apache Spark | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Key Vault | Azure Storage | Azure Storage Accounts | CI/CD | Data Modeling | Data Quality | Delta Lake | ELT | ETL | Encryption | Event Hubs | GDPR | Git | Key Vault | Logging | Monitoring | PII handling | PySpark | Python | REST APIs | Schema evolution | Secrets management | Slowly Changing Dimensions | Spark Structured Streaming | Storage Accounts | Structured Streaming | Terraform | Terragrunt
Education
N/A
Roles
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