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트렌딩 기업

트렌딩 기업

채용

채용Wipro

DEVELOPER L4

Wipro

DEVELOPER L4

Wipro

Bengaluru, India

·

On-site

·

Full-time

·

2w ago

Job Description

Job Title

Marketing Automation Engineer / Campaign Engineer

Role Summary

We are looking for a Marketing Automation Engineer who can own campaigns end to end. From data and event design to execution, personalization, and measurement. The role goes beyond UI-based campaign setup and requires strong engineering fundamentals, integration experience, and a problem-solving mindset.
Experience with the Braze platform is an added advantage.

Key Responsibilities

Campaign Engineering and Execution

Design, build, and execute multi-channel campaigns across email, push, SMS, and in-app journeys
Own campaigns end to end. From segmentation and logic to execution, testing, and optimization
Implement dynamic personalization using conditional logic, rule sets, fallback handling, and defaults

Data, Events, and Personalization

Work closely with analytics and product teams to define and consume user events
Translate user behavior and events into trigger-based and journey-based campaigns
Implement send-time personalization using live data, identifiers, and business rules
Leverage platform-native personalization capabilities wherever possible

APIs, Integrations, and Microservices

Work with REST APIs for triggering campaigns, passing user data, and retrieving dynamic content
Understand API endpoints, payloads, authentication, and error handling
Collaborate with backend teams on microservices-based architectures that support campaign execution and personalization
Handle real-time and batch integrations between MAP, CDP, CRM, and external systems

Engineering Fundamentals

Apply programming fundamentals using Python or similar languages where required
Implement conditional logic, switch cases, and decisioning logic cleanly and correctly
Understand event modeling, naming conventions, and downstream usage

Content, Quality, and Testing

Build reusable content blocks such as headers, footers, unsubscribe modules, and recommendation components
Implement validation checks, error handling, and default fallbacks
Follow a structured testing approach using positive and negative test scenarios
Ensure campaigns are production-ready and scalable

Consent and Compliance

Implement consent management at an execution level. Email vs SMS consent, eligibility checks, and suppression logic
Ensure campaigns comply with data privacy and communication regulations

Required Skills and Experience

Strong experience in marketing automation and campaign execution
Solid understanding of HTML, CSS, and JavaScript
Good working knowledge of APIs and integrations
Experience working with event-driven systems and user tracking
Familiarity with microservices-based environments
Strong analytical and problem-solving skills
Ability to clearly articulate technical concepts and implementation approachess

Preferred / Added Advantages

Hands-on experience with Braze platform
Experience with CDPs and real-time personalization
Exposure to large-scale, enterprise-grade marketing environments

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총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Wipro 소개

Wipro

Wipro

Public

A technology services and consulting company focused on building solutions that address clients' digital transformation needs.

10,001+

직원 수

Bengaluru

본사 위치

$8.5B

기업 가치

리뷰

3.1

10개 리뷰

워라밸

3.5

보상

2.3

문화

3.8

커리어

2.5

경영진

2.2

45%

친구에게 추천

장점

Good training and learning opportunities

Flexible work hours and remote options

Supportive colleagues and teamwork

단점

Low and uncompetitive compensation

Limited growth and career advancement opportunities

Poor management direction and support

연봉 정보

41,395개 데이터

Mid/L4

Mid/L4 · Analyst - Business Process L2

1개 리포트

$128,283

총 연봉

기본급

$111,550

주식

-

보너스

-

$128,283

$128,283

면접 경험

5개 면접

난이도

2.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 100%

보통 0%

부정 0%

면접 과정

1

Application Review

2

Online Assessment/Aptitude Test

3

Technical Interview

4

HR Interview

5

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit