Data Engineer

• Develop, test, and maintain scalable data pipelines and architectures to support business intelligence and analytics needs
• Collaborate with cross-functional teams to integrate data from diverse sources, including D365 Commerce and Adobe Experience Platform
• Utilize Python, PySpark, and Azure data services to transform and orchestrate datasets
• Implement and manage Kafka-based systems for real-time data streaming
• Ensure compliance with data governance, security, and privacy standards
• Optimize data storage solutions, leveraging medallion architecture and modern data modeling practices
• Prepare datasets for AI/ML applications and advanced analytical models
• Monitor, troubleshoot, and improve the performance of data systems
• Design semantic models and dashboards using Power BI to support decision-making
• Stay updated on emerging technologies and best practices in data engineering

• Minimum of 3 years of experience in data engineering or a related field
• Proficiency in Python, PySpark, and SQL for data transformation and analysis
• Hands-on experience with Apache Spark and Kafka for data processing and streaming
• Familiarity with Azure Data Lake and other cloud-based data services
• Strong understanding of medallion architecture and lakehouse paradigms
• Knowledge of Power BI and semantic modeling is a plus
• Ability to prepare data for AI/ML applications and advanced analytics
• Excellent problem-solving skills and ability to work independently in a fast-paced environment

Knowledge of Power BI and semantic modeling

• Medical
• Vision
• Dental
• Life and disability insurance
• Access to online training
• Competitive compensation
• Company 401(k) plan