Data Engineer
Chicago, US
USD 87K-145K Mid-level Full Time
Tasks
- Build and maintain ETL/ELT pipelines
- Collaborate with data architect and platform engineer
- De duplicate and integrate data into master data layer
- Extract and transform loan data and financial metrics
- Implement change data capture and incremental refresh logic
- Implement data quality checks and monitoring alerts
- Ingest and validate regulatory and third party data
Perks/Benefits
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Change Data Capture | DBT | Dagster | Data Capture | Data Management | Data Modeling | Data Quality | Data Validation | Data freshness | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Master Data | Master Data Management | Prefect | Python | Redshift | Referential Integrity | SQL | Slowly Changing Dimensions | Snowflake | Star Schema | Streaming
Education
N/A
Roles
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