Senior Data Engineer (AWS, Azure, GCP)
Philadelphia, PA, United States
R
USD 110K-200K (estimate) Senior-level Full Time
Tasks
- Architect cloud data warehouse and data lake solutions
- Collaborate across teams to align solutions with customer needs
- Design data pipelines
- Design dimensional and normalized schemas
- Develop ETL and data orchestration workflows
- Implement data extraction ingestion and processing
- Maintain data pipelines
- Optimize SQL queries and database performance
- Partner with product owners and business stakeholders on requirements
- Provide technical leadership and mentoring
- Stay current with cloud technologies and best practices
Perks/Benefits
- 401k matching
- Disability insurance
- Flexible work environment
- Generous PTO
- Health coverage
- Learning and development programs
- Mental health support platform
- Mentorship
- Paid family leave
- Paid stipend program
- Remote work option
- Tuition support
Skills/Tech-stack
AWS | Ab Initio | Alteryx | Amazon Redshift | Aurora | Azure | Azure Data | Azure Data Factory | Big Data | BigQuery | CI/CD | Cloud platform | Data Factory | Data Lake | Data Modeling | Data Streaming | Data Warehousing | Data orchestration | Databricks | ETL | Git | Google Cloud | Google Cloud Platform | Informatica | Informatica PowerCenter | Jenkins | Jira | Matillion | MySQL | NoSQL | Oracle | Pentaho | PostgreSQL | Python | SQL | SQL Server | SSIS | Snowflake | Snowflake Schema | Star Schema | Talend
Education
N/A
Roles
Regions
Countries
States
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