Job Description
As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and optimizing data pipelines and architectures. You will work closely with cross-functional teams to understand data requirements and ensure the efficient handling and analysis of large volumes of data. Your expertise in data engineering will be key in driving data-driven decision-making and improving operational efficiency within the organization.
In this role, you will impact the business by developing robust data solutions, ensuring data quality and integrity, and enabling advanced analytics capabilities. Your work will support various business functions, leading to improved decision-making, 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.
Responsibilities
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
Qualifications
YOU MUST HAVE
- Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
- 5+ years of experience in data engineering
- Proficiency in data engineering tools and programming languages (e.g., Python, SQL, etc.)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
WE VALUE
- Advanced degree in Data Science, Computer Science, or a related field
- Experience with big data technologies (e.g., Hadoop, Spark)
- Strong problem-solving skills and the ability to translate complex data requirements into scalable solutions
- Knowledge of data governance and data quality best practicesTHE BUSINESS UNIT Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more [here](https://www.honeywell.com/us/en/company/inclusion-and-diversity).
