As an Advanced Data Engineer here at Honeywell, you will play a pivotal role in designing, developing, and maintaining our data infrastructure and systems. You will be responsible for building robust data pipelines, optimizing data storage, and ensuring data quality and integrity. Your expertise in data engineering will drive the efficient handling and processing of large datasets, enabling data-driven decision-making across the organization.

In this role, you will impact the organization by ensuring the seamless flow of data, enabling advanced analytics, and supporting business growth through data-driven insights. Your work will be critical in optimizing data processes, improving data accessibility, and enhancing the overall data strategy of the company.

At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

YOU MUST HAVE:

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Required experience
• Required trait

WE VALUE

• Advanced degree in Computer Science, Data Engineering, or a related field
• Experience with big data technologies and cloud platforms
• Proficiency in programming languages such as Python, Java, or Scala
• Expertise in data warehousing solutions and ETL processes
• Strong problem-solving skills and attention to detail

Key Responsibilities:

• Design, develop, and implement data engineering solutions to support business needs
• Collaborate with crossfunctional teams to understand data requirements and design data models
• Develop and maintain data pipelines and ETL processes
• Ensure data quality, integrity, and security
• Optimize data storage and retrieval for performance and scalability
• Stay updated on industry best practices and emerging technologies in data engineering