Remote Senior Data Engineer (m/f/d)
Tasks
- Build and own scalable data pipelines
- Collaborate with product analytics and engineering stakeholders
- Design ETL and ELT workflows
- Document data models and pipeline logic
- Ensure data reliability with testing and observability
- Migrate legacy Django and Celery pipelines
- Monitor pipelines in production
- Support data access for analysts and data scientists
- Translate business questions into technical designs
Perks/Benefits
- BetterHelp support
- Birthday off
- Bonus vacation time
- Co-working support
- Epic team gatherings
- Extra days off for growth
- Flexible hours
- Headspace access
- Professional development
- Remote work
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Asynchronous Workflows | Aurora | BigQuery | Celery | DBT | Dagster | Data Modeling | Data Pipeline Architecture | Data pipeline | Database Performance Optimization | Database performance | Databricks | Datadog | Dimension modeling | Django | Documentation | ELT | ETL | Fact-Dimension Modeling | Fact/Dimension | FastAPI | Flask | NumPy | Observability | Pandas | Performance optimization | Pipeline architecture | Polars | PostgreSQL | Python | RDS | RDS Aurora | RabbitMQ | S3 | Sentry | Snowflake | Testing
Education
N/A
Roles
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