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Your expertise in ETL platforms, particularly IICS, will be essential in optimizing our data processes and enhancing data quality.
YOU MUST HAVE
- Strong experience in data integration with a focus on ETL platforms, particularly IICS.
- Functional understanding of S4 customer master data, material master data, and price master data.
- Experience with e Commerce and Salesforce platforms.
- Proven ability to drive data integration initiatives and implement effective solutions.
- Strong analytical skills to troubleshoot and resolve data integration issues.
- Experience in developing data mapping specifications and transformation rules.
WE VALUE
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Experience leading data integration projects in a complex, fast-paced environment.
- Strong analytical and problem-solving skills, with a focus on delivering results.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
#AERO26
KEY RESPONSIBILITIES
- Lead the development and execution of the data integration strategy for the S4 transformation project.
- Design and implement ETL processes using IICS to ensure efficient data movement and transformation.
- Collaborate with cross-functional teams to understand data requirements and ensure alignment with business objectives.
- Maintain a functional understanding of S4 customer master data, material master data, price master data, e Commerce, and Salesforce platforms.
- Monitor and optimize data integration processes to ensure high performance and reliability.
- Establish data governance practices to ensure data quality, integrity, and compliance with regulations.
- Develop and maintain documentation for data integration processes, data flows, and system interfaces.
- Provide technical leadership and mentorship to junior team members in data integration best practices.
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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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