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Advanced Data Engineer

Honeywell

Advanced Data Engineer

Honeywell

Bengaluru, Karnataka, India, IN

·

On-site

·

Full-time

·

1mo ago

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

Honeywell

Public

The 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