Data Engineer
Tasks
- Build and maintain batch and real-time pipelines
- Collaborate with product and engineering teams on data-driven features
- Contribute to data platform strategy
- Design scalable data pipelines
- Document data platform architecture
- Ensure data quality monitoring and alerting
- Maintain ETL/ELT processes
- Optimize data pipeline infrastructure
- Support data lake data warehouse and data lakehouse
Perks/Benefits
- Collaborative inclusive mission driven culture
- Dress for your day environment
- Education funding
- Flexible work arrangements
- Hybrid work model
- Mental health wellness support
- Paid sick days
- Paid vacation
- Perks and discounts
- Professional development opportunities
Skills/Tech-stack
AWS | AWS CloudWatch | AWS Glue | AWS Glue Studio | AWS Lambda | AWS Step Functions | Amazon EMR | Amazon Kinesis | Amazon MSK | Amazon Redshift | Amazon S3 | Apache Kafka | CI/CD | Data Modeling | Datadog | ELT | ETL | Event Driven | Event-driven architecture | GitHub Actions | Glue Studio | Infrastructure as Code | Java | Matillion | PagerDuty | Python | SQL | Scala | Step Functions | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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