Job Location: Stamford, CT
At Spectrum, we are excited to be a part of the Path Forward program because we appreciate the skills you can offer, the perspective you provide, and the contributions you will make. This program offers you a chance to revamp your skills, update your resume with new experience, and make connections with others transitioning back to the workforce. It also offers support through Path Forward, a nonprofit organization on a mission to empower people who’ve been focused on caregiving transition back to the paid workforce.
JOB SUMMARY
The Data Developer is responsible for working across multiple disparate data sets to create quality leads that improve marketing and sales. Understand underlying business and data rules that create our campaign universe. Work with marketing and sales partners to provide counts and articulate data variances. Think of data in a creative way to solve marketing and sales issues.
Responsible for data engineering functions including, but not limited to: data extract, transformation, loading, integration in support of enterprise data infrastructures, data warehouse, operational data stores and master data management. Involved in reviewing and creating innovative solutions. Subject matter expert for a single program/system. Diagnose moderate to complex issues.
WHAT YOU’LL GET TO DO
Actively and consistently supports all efforts to simplify and enhance the customer experience.
- Lead the implementation of data services and data movement infrastructures.
Audit implementation of data structures/models and data movement infrastructures.
Lead the implementation of programming concepts such as data structures, error handling, data manipulation, and I/O processing. - Provide preventative solutions and troubleshoot 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.
- Partner with the Insights team to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations.
- Develop ETL processes, programs, and solutions as per established standards.
- Monitor and administer automated and manual data integration and ETL jobs to verify execution and measure performance.
- Lead internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration and ETL job issues.
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Assist stakeholders in defining requirements for data capture that answer business questions and outcomes.
Coordinate with development teams to implement data capture requirements.
WHO YOU ARE
- A skilled communicator with excellent quantitative, written, and verbal skills, you’re able to synthesize information for all levels of management and company personnel.
- An analytical problem-solver, you love to scratch beneath the surface to find solutions and greater understanding of issues.
- A proactive and dependable self-starter, you’re able to plan, prioritize and organize multiple projects and tasks effectively and independently.
- A relationship builder, you’re able to effectively collaborate with, influence, and bring out the best in others.
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand English.
Experience with building use cases and providing development support to data scientists and data engineers.
Experience with data lake – all data sources – building out data sets for use cases.
Experience with building SQL/HIVE databases and tables.
Experience with querying and designing efficient warehousing structures.
Knowledge of data access methods from relational databases using SQL.
Knowledge of and hands-on with web services (WSDL Soap, Restful) to access data from various source systems.
Knowledge of FTP/sFTP.
PREFERRED QUALIFICATIONS
Education
Bachelor’s degree or equivalent experience
Related Work Experience
5 years – ETL experience
5 years – Experience with SQL, Shell Script, Python, JSON
2 years – Data integration experience
2 years – Data visualization experience (Tableau, Alterx, Microstrategy)
2 years – Software engineering experience
WHAT YOU CAN EXPECT
Training, mentorship, and support to help you ramp up and expand your expertise
A supportive environment where you will be encouraged to try new things, learn from mistakes and reach great heights.
WORKING CONDITIONS
Office environment- full-time in Stamford, CT headquarters. MPD391 324196 324196BR
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