[Hiring] Azure Data Engineer @Human Resources Team

Role Description

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

Qualifications

• 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.

Benefits

• 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
• Exceptional guidance and support from our managers
• Collaborative culture & environment
• Opportunity to work alongside some of the best talent in the fire protection industry