Data Engineer
Tasks
- Contribute to data platform architecture and strategy
- Design build maintain scalable data pipelines
- Ensure data quality, reliability, and observability
- Implement monitoring and alerting
- Maintain ETL and ELT processes
- Manage data lake data warehouse and data lakehouse
- Optimize real-time and batch data pipelines
Perks/Benefits
- Collaborative & Inclusive Culture
- Dress for your day environment
- Education funding
- Employee stock ownership plan
- Flexible work arrangements
- Health and dental benefits
- Hybrid work model
- Mental health and wellness support
- Paid personal days
- Paid sick days
- Paid vacation
- Perks and discounts
- Professional development opportunities
Skills/Tech-stack
AWS Glue | AWS Glue Studio | AWS Lambda | AWS Step Functions | Amazon CloudWatch | Amazon EMR | Amazon Kinesis | Amazon MSK | Amazon Redshift | Amazon S3 | Apache Kafka | CI/CD | 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 Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology
Roles
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