Data Developer VI

Are you looking to lead transformative data architecture projects and drive innovative solutions that power business intelligence? Spectrum is seeking a Data Developer VI to spearhead the implementation, modification, and enhancement of data services, automation, and planning. In this role, you will guide cross-functional teams and lead the design and support of comprehensive data solutions across various platforms and environments. 

How You’ll Make an Impact 

• Lead the implementation of data services and data movement infrastructures
• Lead and audit the implementation of programming concepts such as data job failures, including but not limited to error handling, data manipulation and I/O processing
• Lead the implementation of database concepts and practices, including definition and query language
• Develop, modify, enhance, and implement requirements and architecture specifications of data warehousing systems and/or processing infrastructure
• Lead the stakeholder teams to design, implement, and support end-to-end data solutions, across multiple platforms, environments, domains, and locations
• Lead internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration
• Develop reporting processes, programs, and solutions as per established standards
• Coordinate with development teams to implement data capture requirements
• Assist stakeholders in defining requirements for data capture that answer business questions and outcomes

Working Conditions 

• Office environment 

What You’ll Bring to Spectrum 

Required Qualifications 

Education 

• Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience 

Experience 

• 4+ years of ETL experience
• 4+ years of experience with SQL, Shell Script, Python, JSON
• 4+ years of data integration experience
• 4+ years of data visualization experience (Tableau, Alterx, Microstrategy)
• 4+ years of software engineering experience
• 4+ years of data science, modeling, or architecture experience

Skills 

• Ability to read, write, speak and understand English
• Ability to perform in-depth and independent research and analysis with some oversight from the manager
• In-depth knowledge of SQL and Python (YAML – if applicable); data tools including querying, scripting, analysis, ETL, and command line interfaces; cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting
• Extensive knowledge of Spectrum’s product data sources and data pipelines Applies appropriate level of data maintenance, data architecture/design, data warehouse, data quality control and validation of code, tools, and metrics/models with guidance
• Ability to provide creative solutions, innovation, and advance troubleshooting techniques
• Extensive knowledge of reporting, development, and visualization design
• Experience with building use cases and providing development support to data scientists and data engineers; data lake – all data sources - building out data sets for use cases; building SQL databases and tables; querying and designing efficient warehousing structures