Senior Data Engineer (AWS, Azure, GCP)
Tasks
- Build and maintain ETL workflows
- Design data pipelines
- Ensure solutions align with customer needs
- Implement and maintain data engineering solutions
- Partner with product owners to analyze requirements
- Provide strategic architecture recommendations
- Provide technical leadership and mentoring
- Stay current with cloud technologies and share knowledge
Perks/Benefits
- 401k matching
- Disability insurance
- Employee resource groups
- Fertility coverage
- Generous PTO
- Health coverage
- Learning and development support
- Life style stipend
- Mental health support
- Mentorship
- Paid family leave
- Remote work flexibility
- Tuition support
Skills/Tech-stack
AWS | Aurora | Azure | Azure Data | Azure Data Factory | BigQuery | C# | C++ | CI/CD | Data Factory | Data Lake | Data Modeling | Data Streaming | Data Warehousing | Data orchestration | Database Design | Databricks | Denormalized Data | Dimensional Modeling | Distributed Systems | ETL | GCP | Git | Informatica | Java | Jenkins | Jira | Matillion | MySQL | NoSQL | Normalized Data | Oracle | Pentaho | PostgreSQL | Presto | Python | R | Redshift | SQL | SQL Server | SSIS | Shell | Snowflake | Snowflake Schema | Star Schema | Talend
Education
N/A
Roles
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