Spectrum is looking to implement innovative data services, streamline processes, and enhance data planning strategies to support the organization's growth and success.
Requirements
- 1+ year of ETL experience
- 1+ year of data visualization experience (Tableau, Alterx, Microstrategy)
- 1+ year of software engineering experience
- Basic knowledge of SQL and Python (YAML – if applicable)
- Basic knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces
- Basic knowledge of cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting
- Experience with querying and designing efficient warehousing structures
Responsibilities
- Assist in implementing data services, data structures/models and data movement infrastructures
- Assist in troubleshooting data job failures, including but not limited to error handling, data manipulation and I/O processing
- Provide preventative solutions under manager supervision
- Assist in implementing database concepts and practices, including definition and query language under supervision
- Assist in modification, enhancement, and implementation of requirements and architecture specifications of data warehousing systems and/or processing infrastructure
- Collaborate with stakeholders to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations
- Create monitors and alerts to track data quality
Other
- Ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
- Prior Internship, related course work, or certification
- Familiarity with Spectrum’s product data sources and data pipelines
- Basic report development and visualization design skills
- Experience with building use cases and providing development support to data scientists and data engineers
