Azure Data Engineer
AI Fire 是美国领先的消防和生命安全服务提供商，通过其供应商网络在 Academy Fire 提供国家账户服务，并通过 Impact Fire 为当地和地区客户提供服务.AI Fire 已完成了45多个地区办事处的技术人员.AI Fire 将继续与新私募股权合作伙伴建立起其既定收购和集成模式。加入 AI Fire 的好处 当你加入 AI Fire 时，你将获得：·竞争性补偿 · 薪酬每周周期，每周五 · 职业发展机会 · 竞争优势，包括医疗保健，牙科，视觉，生命保险，付费休息和假期 ·公司支付短期及长期残疾 ·立即获得我们的401 (k) 公司匹配 ·全职员工参与我们共享所有权计划，该计划提供与公司的长期成功相一致的货币奖励。该计划培养了所有权思维方式并确保每个员工都有意义地分享他们帮助创造的成功。· 我们管理人员提供的特殊指导和支持 ·协作文化 &环境 · 有机会与消防业中一些最好的人才一起工作：AI Fire 正在寻找一个熟练和有力的数据工程师，设计，开发和维护可扩展的数据仓库解决方案以及从各种小型企业 ERP 平台迁移到我们的 NetSuite ERP 系统中的数据。你将通过构建可靠的数据管道，标准化多个系统的数据，管理数据并优化云数据基础设施来实现基于数据的决策中发挥关键作用。RESPONSIBILITIES: · 设计和实施使用 Azure Fabric, Data Factory, Databricks 和 Synapse Analytics 的高效数据管道 · 发展 ETL/ELT 流程以摄入，转换和加载大量数据 · 创建和维护数据模型，湖泊建筑和数据仓库解决方案 · 与商业分析师和企业利益相关者合作了解数据需求 · 对性能和成本进行数据工作流的监测和优化 ·确保数据质量，安全性和遵守治理标准 · 自动验证和测试程序 · 在 PowerBi 中根据需要构建仪表板 ·正常化和清洁数据要求：·强大的熟 Azure 数据服务：布料，数据工厂，数据块，协同器件，逻辑应用程序，Azure
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AI Fire is a leading provider of fire and life safety services in the U.S. offering national account services via its vendor network at Academy Fire and serving local and regional customers through Impact Fire’s employed technicians across 45+ district offices nationwide. AI Fire has completed over 45 acquisitions and will continue to build upon its well-established acquisition and integration model with its new private equity partner. Benefits of joining AI Fire
When you join AI Fire you will receive:
- Competitive compensation
- Pay is on a weekly cycle, every Friday
- Career Advancement Opportunities
- Competitive benefits, including healthcare, dental, vision, life insurance, paid time off and holidays
- Company paid short and long-term disability
- Immediately vested in our 401(k) company match
- Full-time employees participate in our Shared Ownership Program which offers a monetary bonus aligned to the company's long-term success. This program fosters an ownership mindset and ensures that every employee meaningfully shares in the success they help create.
- Exceptional guidance and support from our managers
- Collaborative culture & environment
- Opportunity to work alongside some of the best talent in the fire protection industry
NATURE OF POSITION:
AI Fire is seeking a skilled and driven Data Engineer to design, develop, and maintain scalable data warehouse solutions and migration of data from a variety of small business ERP platforms into our NetSuite ERP system. You’ll play a key role in enabling data-driven decision making by building reliable data pipelines, standardizing data from multiple systems, data management and optimizing cloud data infrastructure.
RESPONSIBILITIES:
- Design and implement efficient data pipelines using Azure Fabric, Data Factory, Databricks, and Synapse Analytics
- Develop ETL/ELT processes to ingest, transform, and load large volumes of data
- Create and maintain data models, Lakehouse architecture, and data warehousing solutions
- Collaborate with business analysts and business stakeholders to understand data requirements
- Monitor and optimize data workflows for performance and cost
- Ensure data quality, security, and compliance with governance standards
- Automate data validation and testing procedures
- Building dashboards as needed in PowerBi
- Normalizing and cleaning data
REQUIREMENTS:
- Strong proficiency in Azure data services: Fabric, Data Factory, Databricks, Synapse, Logic Apps, Azure SQL, etc.
- Experience with Python, SQL, Spark, or Scala
- Experience with Workflow Definition Language (WDL)
- Experience with Celigo
- Solid understanding of cloud architecture and data lake principles
- Familiarity with CI/CD tools and DevOps practices in Azure
- Working knowledge of data governance, privacy, and security practices
- Certifications: Microsoft Certified Azure Data Engineer Associate
- Understanding of general data in ERP systems
- Experience with Power BI and Power Apps
- Knowledge of machine learning workflows and integration
- Analytical mindset and problem-solving attitude
- Strong communication and teamwork abilities
- Adaptability in a fast-paced, agile environment
- Experience in other platforms such as AWS data fabric (Redshift, Glue, Athena) or Databricks will also be considered
- Bachelor’s degree in Computer Science, Engineering, or related field
Successful completion of a drug test and pre-employment background screening is required.
For consideration, please apply on-line. Employment with an Equal Opportunity Employer (EOE) including disability/veterans.
Originally posted on Himalayas