Data Engineer
Tasks
- Build data pipelines
- Collaborate on data requirements
- Contribute to data observability
- Deliver data on time
- Design data pipelines
- Develop batch data pipelines
- Develop streaming data pipelines
- Document data architecture decisions
- Document data sources
- Document data transformations
- Ensure Data reliability
- Ensure data accuracy
- Implement data quality checks
- Improve data platform reliability
- Lead data product projects
- Maintain data pipelines
- Monitor data pipelines
- Participate in code reviews
- Participate in retrospectives
- Participate in sprint planning
- Translate business questions into engineering tasks
- Troubleshoot data pipeline issues
- Write data documentation
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Disability insurance
- Family planning support
- Fertility support
- Fitness benefits
- Health insurance
- Life insurance
- Mental health support
- Paid Holidays
- Paid time off
- Pet insurance
- Sick leave
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Azure | Batch Processing | CI/CD | Compliance | DBT | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Warehousing | Databricks | ELT | ETL | GCP | Java | Kafka | Observability | Python | SQL | Scala | Spark | Streaming Data | Testing | Version control
Education
N/A
Roles
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