
The future is what we make it.
Advanced Data Engineer
Required skills
Python
Java
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.
YOU MUST HAVEBachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Required experience Required traitWE VALUEShould 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 Activ Vos workflows in Informatica Hands on experience with Power BIHands on experience in core java and spring boot applications Working knowledge of Python programming
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 MDMShould 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 BIData 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:
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About Honeywell

Honeywell
PublicHoneywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building automation, industrial automation, and energy and sustainability solutions (ESS).
10,001+
Employees
Charlotte
Headquarters
$130B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
4.2
Compensation
2.8
Culture
3.9
Career
2.7
Management
3.1
65%
Recommend to a friend
Pros
Good work-life balance
Great benefits and job security
Collaborative and friendly environment
Cons
Low or uncompetitive compensation
Poor management and communication
Limited growth opportunities
Salary Ranges
655 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total per year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
33%
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Assessment/Testing
5
Final Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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