Data Engineer
Tasks
- Build and maintain scalable data pipelines
- Develop and optimize data models
- Embed analytics into product dashboards and reporting
- Ensure data quality and reliability
- Improve performance scalability and cost efficiency
- Integrate data from APIs and third party systems
- Support data integration and schema automation
- Support forecasting and benchmarking use cases
- Translate requirements into reusable datasets and pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | CI/CD | Cloud Data | Cloud Data Warehouse | DBT | Data Factory | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Warehouse | Dimensional Modeling | ELT | ETL | Fivetran | Infrastructure as Code | Microsoft Fabric | Monitoring | RBAC | Row Level Security | SQL | Snowflake | Star Schema | Terraform | “as-code”
Education
N/A
Roles
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