Data Engineer

Data Engineer to design, implement, and maintain scalable, cost-efficient data pipelines and analytics solutions on Azure, collaborating with stakeholders to ensure data quality and enable enterprise analytics and reporting. Responsibilities Architect and sustain scalable data pipelines on Azure using services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. Ingest data from diverse sources including APIs, databases, and files into centralized analytics repositories. Develop and manage ETL and ELT workflows to transform raw data into analytics-ready models aligned with business needs. Design a microservices style architecture capable of rapid scaling with business growth and AI capabilities. Build data pipelines that feed AI models with clean, structured logistics data. Implement real-time analytics engines to empower predictive logistics capabilities. Ensure data quality, integrity, and governance through validation, monitoring, and alerting mechanisms. Collaborate with business and technical teams to capture data requirements and align data assets with business needs. Apply cost-conscious data engineering strategies to optimize performance while managing cloud spend and storage costs. Maintain and enhance a semantic data layer or curated datasets to support self-service BI with Power BI and advanced analytics. Contribute to the architecture of the data platform with emphasis on security, scalability, and performance. Automate data operations and deployment through CI/CD pipelines and infrastructure-as-code (ARM, Bicep, or Terraform). Stay current with evolving Azure technologies and propose improvements to existing data workflows. Other duties as assigned. Requirements Minimum 5 years of experience building and managing data pipelines in Microsoft Azure environments. Proficiency with Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration. Strong SQL, data modeling, and ELT/ETL pattern knowledge. Experience working with APIs, JSON, and structured or unstructured data sources. Proven ability to work cross-functionally to deliver high-quality data solutions. Excellent organizational skills and ability to manage multiple tasks, set priorities, collaborate with diverse teams, and meet tight deadlines with attention to detail. Flexible schedule availability as needed. Proficient in Microsoft Office Suite. Demonstrated leadership abilities with effective cross-functional communication and collaboration. Attention to detail and compliance in a fast-paced environment. Logistics or Supply Chain experience preferred. Bachelor's Degree in an IT-related program. Technologies Azure Data Factory Azure Synapse Analytics Azure Data Lake Power BI SQL JSON Terraform Bicep ARM Microsoft Office Suite Benefits Dental insurance Health insurance Life insurance Paid time off Physical Demands Sitting at a desk, typing, viewing multiple screens, and responding to calls, emails, and messages throughout the day. Occasionally bending, standing, or lifting up to 10 pounds. Work Environment The role is based in an open office setting with regulated temperatures and high phone activity. Position Type & Hours Full-time. Typically Monday through Friday, 8:00 am – 5:00 pm (1 hour lunch), 40+ hours per week. Position may require hours outside the standard schedule as business needs dictate. Travel Minimal to no travel required; potential travel to conferences or trainings as needed. Professional Ability to adapt in a fast-paced environment and handle change with ease. Efficient time management, punctuality, and reliability. Foster teamwork, integrity, and leadership within the organization. Clear written and verbal communication that is respectful and professional. #J-18808-Ljbffr InnoSource