Azure Data Engineer
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.
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