Data Engineer
Tasks
- Build data ingestion pipelines
- Design data models for customer use cases
- Develop data transformation workflows
- Implement data orchestration workflows
- Improve engineering automation documentation data architecture
- Integrate external marketing platforms
- Investigate and resolve data incidents
- Manage data quality checks monitoring alerting
- Manage infrastructure with Infrastructure as Code
Perks/Benefits
- Autonomy
- Flexible working environment
- Fully remote
- Professional growth
- Supportive team culture
- Work-life balance
Skills/Tech-stack
AWS Lambda | Airflow | Amazon S3 | Attribution | CI/CD | Customer Segmentation | DBT Core | Data Lineage | Data Modeling | Data Quality | Dimensional Modeling | Docker | ELT | ETL | EventBridge | Git | IAM | Identity resolution | Marketing activation | Python | REST API | SFTP | SQL | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Streaming | Terraform
Education
N/A
Roles
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