Honeywell International, Inc.is seeking a Advanced Data Engineer based out of our

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Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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As an Advanced Data Engineer here at Honeywell, you will design, develop, and maintain data infrastructure, build robust pipelines, and ensure data quality. Your work will drive data-driven decision-making and support business growth.

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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

• Should have hands on experience in Informatica Product 360 in version 10.1 or higher with experience of individually developing applications within the same.
• Experience with simple and advanced Informatica Dat a Quality transformations
• Working knowledge of building ActivVos workflows in Informatica
• Hands on experience with Power BI
• Hands on experience in core java and spring boot applications
• Working knowledge of Python programming

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Minimum Requirements:

Must have approximately 8 years of experience with the following highlights:

• Informatica Master Data management or any equivalent technology such as Stibo MDM or IBM MDM
• Should have expertise in Informatic product 360 configuration and customization technologies.
• Must have hands on experience in Informatica Data Quality
• Relational Database systems such as Oracle, DB2, SQL Server, Google Big Query etc.
• Data Integration technologies such as Informatica Powercenter, Informatica Cloud Data Integration and Alteryx
• Java Programming language including core concepts such as object oriented programming, data structures and looping methodologies and advanced concepts like MVC Frameworks, Spring Framework and database access methodologies such as Hibernate , JPA etc.
• Machine Learning applications using Python using Siclit-Learn,Tensorflow, Pytorch or equivalent technologies.
• Generative AI Technologies such as Open AI Chat GPT, Google Gemini, Anthropic Claude or equivalent
• Master Data Management concepts and algorithms
• Data Analytics and Reporting application design and implementation using Power BI
• Data Integration and Application Integration architecture and design

• End to end solution design for interconnect data flow systems spanning across resource planning engines, data management /data analytics applications and consumer platforms.

  Expectations: