Senior Data Engineer (AWS, Azure, GCP)
Tasks
- Advise on data engineering best practices
- Build data lake solutions
- Build data warehouse solutions
- Collaborate across teams and stakeholders
- Design data pipelines
- Implement ETL and data orchestration
- Implement data engineering solutions
- Ingest and process large datasets
- Maintain data pipelines
- Mentor data engineering teams
- Optimize database schemas
- Partner with product owners to gather requirements
- Provide technical leadership
- Stay current with cloud technologies and patterns
Perks/Benefits
- 401k matching
- Disability insurance
- Health coverage
- Learning and development programs
- Mental health support
- Mentorship
- Paid family leave
- Paid stipend program
- Paid time off
- Remote work flexibility
- Tuition support
Skills/Tech-stack
AWS | Aurora | Azure | Azure Data | Azure Data Factory | BigQuery | CI/CD | Data Factory | Data Modeling | Data Pipelines | Data Streaming | Data orchestration | Databases | Databricks | Dimensional Modeling | ETL | GCP | Git | Informatica | Jenkins | Matillion | MySQL | NoSQL | Oracle | PostgreSQL | Presto | Python | Redshift | SQL | SQL Server | SSIS | Shell | Snowflake | Snowflake Schema | Star Schema | Talend
Education
N/A
Roles
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