Data Engineer
Tasks
- Align integration and architecture across systems
- Build and monitor data workflows
- Collaborate with analytics AI teams and stakeholders
- Contribute to advanced analytics and MLOps initiatives
- Contribute to real time data processing initiatives
- Deliver trusted data for BI and AI
- Design data models
- Develop ELT/ETL pipelines
- Document data models pipelines architecture
- Ensure compliance with data standards
- Ensure pipeline reliability, performance, maintainability
- Maintain data pipelines
- Orchestrate data workflows
- Perform monitoring and incident resolution
- Support continuous improvement
- Support data governance, security, and quality
Perks/Benefits
- Career development
- Flexible work
- Global culture perks
- Health coverage
- Paid time off
- Retirement plans
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Apache Spark | BigQuery | Cloud platform | DBT | Data Governance | Data Lake | Data Modeling | Data Processing | Data Quality | Data Security | Data Vault | Data Warehouse | DataOps | Dimensional Modeling | ELT | ETL | Fivetran | Google Cloud | Google Cloud Platform | MLOps | Microsoft Fabric | Power BI | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Snowflake
Education
N/A
Roles
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