Sr Advanced Data Engineer

As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and maintaining advanced data solutions that drive business insights and support decision-making processes. You will leverage your expertise in data engineering to build scalable data pipelines, optimize data storage, and ensure data quality and integrity. Your ability to work with cross-functional teams and translate business requirements into technical solutions will be key to your success in this role.

In this role, you will impact the business by enabling data-driven decision-making, optimizing data processes, and improving overall data management. Your work will contribute to increased operational efficiency, cost savings, and enhanced customer satisfaction.

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.

Key Responsibilities

• Design and develop scalable and efficient data pipelines, data models, and data integration processes
• Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs
• Ensure data quality and integrity by implementing data validation and cleansing processes
• Optimize data engineering processes and infrastructure to improve performance and efficiency
• Stay updated on emerging data engineering technologies and best practices to drive innovation and continuous improvement

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Proven experience in data engineering
• Proficiency in data engineering tools and programming languages (e.g., Python, SQL, etc.)
• Experience with data pipeline and ETL processes

WE VALUE

• Master’s degree in Data Science, Computer Science, or a related field
• Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud)
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Strong problem-solving skills and attention to detail