Logistics Data Engineer

Key Skills

Java Programming, Analytical and Problem solving, Oracle, Python Programming, SQL, SQL Server, RDBMS, Data science techniques, Alteryx, Tableau, Data Architecture, Effective communication skills

Job Description

At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

This position is eligible for a Hybrid work schedule and will be based out of our Davidson, NC location. Flexible work from home options available.

Summary:

The Logistics Data Engineer will be responsible for developing a data ecosystem to incorporate transportation and supply chain related data into a unified and integrated data model. This model will serve as a foundation to all analytical efforts within the company’s Logistics function, enabling them to make higher quality decisions faster and with a higher degree of confidence. This position will be seen as a leader in the vision and design of the data model from processes that ingest and process incoming data, enhance data products with analytical insights, and enforce standards and quality measurements to ensure that everything is working properly. A high-level of collaboration with business stakeholders such as procurement, transportation planning, materials management, and IT will be required to understand the needs of the business and develop agile and responsive solutions. As our capabilities and understanding of data engineering grow, this position will be looked to as the thought-leader for future applications of data science and machine learning.

Responsibilities:

• Assist in developing large-scale data structures and pipelines to ingest, move, transform, and integrate data to help generate insights and meet reporting needs
• Design and build the end-to-end solution to move data from various sources into a unified cloud-based data hub
• Liberate inaccessible data by partnering with process owners to capture and integrate information currently stored in closed-loop systems
• Document requirements and translate into system design specifications
• Educate functional analysts on proper methods of extracting and using data
• Execute and coordinate requirements management and change management processes
• Lead initiatives of limited scope

Key Competencies and Success Factors:

• Technical Excellence – comfortable around very large data sets
• Analytical Expertise – strong communication skills to fully understand the business question to be answered. Excellent data exploration techniques to determine if the data available is sufficient to answer the business question. 
• Cross Functional Collaboration – within analytics teams, the business and IT.
• Innate Curiosity – constant drive to learn more, ask questions, seek better outcomes
• Problem Solving – Identifies/anticipates potential problems, performs root cause analysis, evaluates robustness of corrective action plan and oversees plan implementation.
• Communication – Must be able to communicate in a clear, concise, and persuasive manner

Minimum Qualifications:

• Hands-on experience working at a high level in Architecture or Data Science, or combination.
• In-depth understanding of database structure principles.
• Proficiency in SQL. Alteryx and Tableau is highly preferred.
• Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.
• Highly self?motivated, self?directed, and attentive to detail.
• Strong project management and communication skills.
• Prior experience with ERPs and TMS software is preferred