Senior Data Engineer (AWS, Azure, GCP)
Tasks
- Analyze customer requirements
- Build distributed data extraction ingestion and processing
- Collaborate with cross-functional teams
- Deliver data engineering solutions
- Design data pipelines
- Design data warehouse and data lake solutions
- Implement ETL and data orchestration workflows
- Implement data pipelines
- Maintain data pipelines
- Mentor data engineers
- Partner with product owners and business stakeholders
- Provide technical leadership
- Recommend modern data architecture
- Share technical results with stakeholders
- Stay current with cloud technologies and patterns
Perks/Benefits
- 401k matching
- Carrot fertility benefits
- Certification support
- Disability insurance
- Employee Stipend Program
- Employee resource groups
- Employer sponsored funds for fertility care
- Flexible work environment
- Generous PTO
- Health coverage
- Learning and development programs
- Mental health and well being program
- Mentorship
- Paid family leave
- Remote work options when compatible
- Tuition support
Skills/Tech-stack
AWS | Ab Initio | Alteryx | Amazon Redshift | Aurora | Azure | Azure Data | Azure Data Factory | Big Data | BigQuery | C# | CI/CD | Data Factory | Data Lakes | Data Modeling | Data Streaming | Data Warehousing | Data orchestration | Databricks | Dimensional Modeling | ETL | GCP | Git | Informatica | Java | Jenkins | Jira | Matillion | Microsoft SQL | Microsoft SQL Server | MySQL | NoSQL | Oracle | Pentaho | PostgreSQL | Presto | Python | R | SQL | SQL Server | SSIS | Snowflake | Snowflake Schema | Star Schema | Talend
Education
N/A
Roles
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