Data Engineer
Tasks
- Build client data ingestion APIs and file upload mechanisms
- Design and implement data ingestion pipelines
- Develop data mapping and transformation workflows
- Document architecture workflows and operational procedures
- Enable data flow from SaaS to analytical platform
- Ensure data availability and quality for reporting and machine learning
- Implement Databricks Lakehouse architecture
- Implement data governance, security, and compliance best practices
- Optimize ETL and ELT processes
- Provide operational support for ingestion processes
- Troubleshoot data pipeline issues across environments
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Dependent Care Savings Account
- Education assistance
- Employee assistance program
- Family leave options
- Flexible spending account
- Flexible time off
- Health savings account
- Hybrid work
- Life insurance
- Medical insurance
- Paid Holidays
- Remote eligible
- Vision insurance
- Wellness reimbursement
Skills/Tech-stack
.NET | API Development | API Gateway | AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon API | Amazon API Gateway | Amazon S3 | Apache Spark | C Sharp | Cloud Security | Data Compliance | Data Governance | Data Lakehouse | Data Modeling | Databricks | ELT | ETL | Multi-tenant | Multi-tenant architecture | Python | REST API | SQL Server | Step Functions | Tenant architecture
Education
Roles
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