Software Engineer (Data Engineer)
Tasks
- Apply dimensional modeling and data warehouse design patterns
- Build data quality checks and validation frameworks
- Design and maintain production data pipelines
- Develop API integrations with error handling and retry logic
- Handle API authentication pagination and rate limiting
- Implement ETL and ELT workflows
- Integrate data from SaaS platforms via APIs
- Transform JSON and XML into structured datasets
- Use Git for version control
- Use Python for data engineering pipelines
- Use cloud data services for data infrastructure
- Write and optimize SQL queries
Perks/Benefits
- 401k plan
- Employer health insurance
- Employer life and disability insurance
- Paid government holidays
- Paid time off
- Spot bonuses
- Training budget
Skills/Tech-stack
API | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | CloudFormation | DBT | Data Governance | Data Observability | Data Vault | Data Warehouse | Dimensional Modeling | Docker | ELT | ETL | GCP | Git | Great Expectations | JSON | Kafka | Kinesis | Kubernetes | Metadata Management | Monte Carlo | PySpark | Python | Reverse ETL | SQL | Soda | Terraform | XML
Education
N/A
Roles
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