Senior Data Engineer
Tasks
- Build and maintain data Lakehouse
- Build and test dbt models
- Build data quality dashboards
- Design ETL/ELT pipelines
- Develop Snowflake data warehouse objects
- Develop event driven processing with Azure Functions and Logic Apps
- Embed data validation and freshness checks
- Enforce data contracts and schema drift alerts
- Implement incremental loading and CDC
- Manage ADLS Gen2 storage and partitioning
- Manage secrets with Azure Key Vault
- Support CI CD deployment for pipelines and dbt
- Translate business requirements into data models
- Use Terraform or Bicep for infrastructure provisioning
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Functions | Azure Key Vault | Azure Logic | Azure Logic Apps | Azure SQL | Bicep | CI/CD | Change Data Capture | DBT | Data Capture | Data Contracts | Data Factory | Data Lake Storage Gen2 | Data Observability | Data Quality | Delta Lake | Elementary | Event Driven | Event-driven architecture | Incremental load | Key Vault | Logic Apps | Medallion Architecture | Parquet | PySpark | Python | SCD Type-2 | SQL | Snowflake | Terraform | Type 2)
Education
N/A
Roles
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