Data Engineer III
Tasks
- Build ETL workflows
- Build and maintain data platforms and structures
- Build and manage Data Lakes and Data Warehouses
- Build and optimize CI/CD pipelines
- Design scalable cloud-native data pipelines
- Develop and test data products
- Develop backend applications
- Develop event-driven pipelines
- Ensure data quality and integrity
- Implement deployment automation
- Implement restful APIs
- Integrate SAP S4HANA data extraction and reporting
- Integrate third-party systems
- Manage infrastructure as code
- Mentor junior engineers and interns
- Monitor data pipelines
- Use automated validation frameworks
Perks/Benefits
- 401k company match
- Company holidays
- Education tools access
- Employee discounts
- Financial counseling
- Maternity support programs
- Medical/dental/vision/life insurance
- Nursing Benefits
- Paid parental leave
- Paid time off
- Student loan refinancing
- Therapy sessions
- Tuition reimbursement
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Glue | Apache Spark | CI/CD | Cloud platform | Data Governance | Data Lake | Data Warehouse | Databricks | Distributed Systems | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Kubernetes | Microsoft Azure | Observability | OpenShift | PostgreSQL | Python | REST API | SAP Datasphere | SAP S4HANA | SQL | Scala | Snowflake | Terraform | Test-Driven | Test-Driven Development | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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