Data Engineer
Tasks
- Build and optimize data pipelines
- Build data platforms and data products
- Deploy solutions to production using software engineering best practices
- Design data architectures
- Develop data models
- Identify and communicate insights from data
- Implement machine learning models
- Integrate data from multiple sources including streaming
- Make data available for analytics and applications
- Operationalize machine learning with MLOps
- Support building data and analytics environments
- Train organizations to become data-driven
- Translate business goals into data insights requirements
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure Data | Azure Data Factory | BigQuery | DBT | Data Factory | Data Modeling | Data Pipelines | Data Streaming | Data Warehousing | DataOps | Databricks | DevOps | Docker | GCP | Git | Kafka | Looker | MLOps | Matillion | Power BI | Python | Redshift | SQL | Snowflake | Snowpipe | Tableau | Terraform
Education
N/A
Roles
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