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Honeywell
Honeywell

The future is what we make it.

Advanced Data Engineer

직무데이터 엔지니어링
경력미들급
위치Bengaluru, Karnataka, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

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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Honeywell 소개

Honeywell

Honeywell

Public

Honeywell 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+

직원 수

Charlotte

본사 위치

$130B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

4.2

보상

2.8

문화

3.9

커리어

2.7

경영진

3.1

65%

지인 추천률

장점

Good work-life balance

Great benefits and job security

Collaborative and friendly environment

단점

Low or uncompetitive compensation

Poor management and communication

Limited growth opportunities

연봉 정보

655개 데이터

Mid/L4

Senior/L5

Mid/L4 · Data Analyst II

2개 리포트

$136,600

총 연봉

기본급

$105,077

주식

-

보너스

-

$136,600

$136,600

면접 후기

후기 3개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

33%

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Assessment/Testing

5

Final Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit