Senior Data Engineer
Tasks
- Build ETL/ELT workflows
- Collaborate on data products with stakeholders
- Contribute AI ML data preparation and monitoring
- Design scalable data pipelines
- Develop production Python data code
- Implement data quality, monitoring, and alerting
- Maintain Looker explores and semantic layers
- Mentor data engineering team
- Model analytical data for BI
- Operate AWS data infrastructure
- Optimize SQL for Redshift Athena and Aurora
Perks/Benefits
- Continuing education support
- Dental insurance
- Flexible PTO
- Health insurance
- Professional development budget
- Vision insurance
- Work from home
Skills/Tech-stack
AWS Glue | Airflow | Amazon Athena | Amazon Redshift | Amazon S3 | Apache Spark | Aurora | CI/CD | CloudFormation | CloudWatch | DBT | Data Quality | Dimensional Modeling | Docker | ECS | EKS | Event Based | Event-based modeling | Feature Engineering | Great Expectations | IAM | Incident Response | Java | LookML | Looker | Machine Learning | Model Monitoring | Monitoring and Alerting | MySQL | Python | SQL | Slowly Changing Dimensions | Snowflake Schema | Spring Boot | Star Schema | Tableau | Terraform
Education
N/A
Roles
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