Niagara
EnterpriseDataFoundation&IntelligentAutomationEngineerII
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“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
Full Job Description
At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: * Work in an entrepreneurial and dynamic environment with a chance to make an impact. * Develop lasting relationships with great people. * Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. Enterprise Data Foundation & Intelligent Automation Engineer II The Enterprise Data Foundation & Intelligent Automation Engineer II is responsible for developing, maintaining, and optimizing analytical data models, data pipelines, and automation solutions. This role contributes to strengthening the organization's data foundation, improving data maturity, and supporting data-driven decision-making across the enterprise. **_Essential Functions_** * Develop and maintain high-quality data pipelines, models, and automation solutions in alignment with Analytics Modeling ELT principles. * Implement data quality frameworks and data governance best practices to ensure reliable and trusted data assets. * Solve data engineering challenges to enhance business intelligence and operational efficiency. * Build reusable data products to support product managers, data scientists, and business teams in decision-making processes. * Collaborate with data engineers, machine learning engineers, and solution architects to support scalable and optimized enterprise data solutions. * Contribute to AI-first initiatives and Robotic Process Automation (RPA) to improve efficiency across the analytics data value chain. * Partner with key stakeholders to support automation and optimization of business processes through Business Process Automation (BPA). * Research and evaluate emerging data technologies and automation tools to improve data engineering efficiency. * Promote a culture of continuous learning, innovation, and collaboratio
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