Data Engineer
Tasks
- Administer data platforms
- Automate data processes
- Build automated data pipelines
- Collaborate with Data Science and Analytics
- Collaborate with engineering teams
- Design data pipelines
- Implement ETL best practices
- Improve data pipeline observability
- Improve data platform efficiency
- Improve data platform scalability
- Maintain data pipelines
- Mentor and onboard engineers
- Monitor data systems
- Optimize data workflow performance
- Support data workflow reliability
Perks/Benefits
- Career growth benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible paid time off
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Vision insurance
- Work from home
Skills/Tech-stack
AWS Redshift | Airflow | Apache Airflow | Azure Synapse | Cloud platform | Cost Optimization | DBT | Data Governance | Data Modeling | Data Observability | Data Reliability | Data pipeline | Data pipeline automation | Distributed Computing | ELT | ETL | Fivetran | Google BigQuery | Google Cloud | Google Cloud Platform | Monitoring | Pipeline Automation | PySpark | Python | SQL | Snowflake
Education
N/A
Roles
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