Niagara
EnterpriseDataFoundation&IntelligentAutomationEngineerII
“Enterprise Data Foundation & Intelligent Automation Engineer II at Niagara. Skills: data pipelines, analytical data models, automation solutions, SQL. Develop data pipelines, models, automation solutions. Implement data quality frameworks”
What You'll Achieve.
strengthening the organization's data foundation; improving data maturity; supporting data-driven decision-making; ensure reliable and trusted data assets; enhance business intelligence; improve operational efficiency; support scalable and optimized enterprise data solutions; improve efficiency across the analytics data value chain; support automation and optimization of business processes; improve data engineering efficiency; reducing costs; prioritizing long run impact; get positive outcomes for the customer; Makes strategic and sustainable data driven decisions; increase efficiency; reduce waste; drive continuous improvement; adjusts the strategy as needed; achieve organizational success
Industry & Context.
problem-solving skills; think analytically; synthesize complex information
Los Angeles County applicants only
What They're Looking For.
Must Have
2 years of experience in technology consulting, data analytics, or related fields, 2 years of experience supporting operations or strategy functions, Bachelor's Degree in Supply Chain/Information Technologyusiness Analytics/Systems Engineering/Data Science or other related field, ELT, SQL, Python, R, relational databases, NoSQL databases, cloud-based databases
Nice to Have
4 years of experience in technology consulting, data analytics, or related fields, 4 years of experience in operations or strategy functions, 2 years of experience managing projects, Master's Degree in Supply Chain/Information Technologyusiness Analytics/Systems Engineering/Data Science or other related field, APICS CPIM/CSCP, PMP PMI
What You'll Do.
Develop data pipelines
Implement data quality frameworks
Solve data engineering challenges
Build reusable data products
Collaborate with data engineers
Contribute to AI-first initiatives
Partner with stakeholders
Research emerging data technologies
How You'll Work.
Team & Collaboration
Collaborate with data engineers, machine learning engineers, and solution architects; Experience in cross-functional teams; foster a culture of collaboration, transparency, and trust; Works effectively with depts, vendors, and customers
Communication Scope
simplify technical concepts for broader organizational understanding
Process & Methodology
managing projects, Provides strategic input, managing timelines, organizes resources effectively, adjusts the strategy as needed
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