Data Engineer I
Tasks
- Apply data governance best practices
- Build data pipelines
- Collaborate with analytics teams
- Develop ELT workflows
- Develop ETL workflows
- Document datasets
- Follow data modeling best practices
- Implement data validation checks
- Ingest semi structured data
- Ingest structured data
- Maintain data pipelines
- Monitor data quality
- Monitor pipeline performance
- Monitor workflows in Airflow
- Optimize data pipelines
- Query with Trino
- Schedule workflows
- Support AWS data access
- Support cost optimization
- Support performance tuning
- Support schema design
- Transform data
- Translate business requirements into data solutions
- Troubleshoot pipeline issues
- Troubleshoot workflow failures
- Use Apache Spark for processing
- Validate data
- Write Python transformation logic
- Write SQL transformation logic
Perks/Benefits
- 401k match
- Direct student loan payment program
- Employee recognition rewards
- Flexible vacation
- HRA
- HSA contribution
- Health coverage
- Mental well-being resources
- Parental leave
- Rest recharge time
- Volunteer time off
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon Athena | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Spark | Data Modeling | Data Validation | Data Warehousing | ELT | ETL | Python | SQL | Trino
Education
N/A
Roles
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