Data Engineer

Graebel Companies, Inc. is hiring a Data Engineer to consolidate data from multiple sources and make it accessible for routine and ad-hoc analysis. The role designs and builds data pipelines and enterprise data solutions, supports AI-ready data, and enables data-driven decision-making.

Responsibilities:

• Collaborate with colleagues and clients to provide the necessary tools for routine and non-routine data analysis
• Accelerating all efforts through leveraging AI
• Translate business requirements into technical solutions, drawing on your strong business acumen
• Analyze current business practices, processes, and procedures to identify future opportunities
• Assess client needs to create customized data design services
• Offer exceptional support to our business partners
• Develop the foundational components for evolving enterprise data solutions
• Architect and construct modern data pipelines
• Implement effective metrics and monitoring systems
• Make independent decisions and provide guidance to your peers
• Create and promote technical best practices for modeling and report design
• Perform any other related duties as required or assigned

Requirements:

• 5+ years of experience in data engineering
• 4+ years of hands-on experience with Azure Databricks
• Experience supporting AI-ready data solutions, including preparing, transforming, and governing data for analytics, machine learning, and generative AI use cases
• Proficiency in agile development methodologies, including DevOps concepts
• Proficiency in version control platforms like Git
• Mastery of TSQL and ANSI SQL
• Strong understanding and capability in Python for data-related tasks and integration