채용
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 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 Activ Vos workflows in Informatica
- Hands on experience with Power BI
- Hands 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 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:
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total / year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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