Honeywell International, Inc.is seeking a Advanced Data Engineer based out of our . Senior Software Engineer and Master Data Management expert responsible for maintenance and enhancement of the Informatica Product 360 based Enterprise Pim components for Honeywell. Lead a support team to oversee Inbound and Outbound Job monitoring, Analyze issues and change requests and lead the implementations for the same while contributing as a individual developer. Lead the build effort for project release in PIM and Product Master including PIM publish module updates, PIM Inbound module Updates, Data Model changes, Web UI Customizations and customized data quality development in Informatica Developer. Perform demonstration session with IT and Business stakeholders for releases. Guide downstream teams on data consumption and data integration strategies. Perform code migration and application upgrades on the platform. Configure and maintain reports on Honeywell’s business critical Product Data Elements using Power BI. Contribute to AI automation processes within the Honeywell Data Management Group.
ResponsibilitiesKey Responsibilities
Qualified applicants must have a Bachelor’s degree in Computer Science Engineering/Information Technology/Electronics and Communication Engineering, or a related field, and 6 years of experience with Informatica Master Data Management and Informatica Product Information Management technologies
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:
YOU MUST HAVE
- 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
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Electronics and Communication Engineering, or related field
- 6-8+ years' experience with Informatica Master Data Management and Product Information Management
- Hands-on experience with Informatica Product 360 (version 10.1 or higher) configuration and customization
- Experience with Informatica Data Quality and simple/advanced data quality transformations
- Experience building ActiveVOS workflows in Informatica
- Hands-on experience with Informatica PowerCenter and Informatica Cloud Data Integration
- Experience with Alteryx
- Relational database experience (Oracle, DB2, SQL Server) and Google BigQuery
- Strong Java skills including core concepts, MVC frameworks, Spring Framework / Spring Boot, Hibernate, JPA
- Working knowledge of Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch)
- Familiarity with generative AI technologies (OpenAI ChatGPT, Google Gemini, Anthropic Claude or equivalent)
- Master Data Management concepts and algorithms
- Design and implementation of data analytics and reporting using Power BI
- Data integration and application integration architecture and end-to-end solution design
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
