Gurugram Haryana Qa automation senior Jobs – 80 Open Jobs Today

CJA Developer
Weekday —Gurugram, Haryana
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Windows
- SQL
- Agile
Quick apply
12d
QA Engineer/Sr. QA Engineer
Fusion Micro Finance —Gurugram, Haryana
- Software development
AEP/CJA Developer
Weekday —Gurugram, Haryana
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Windows
- SQL
- Agile
Quick apply
13d
Full Stack Developer
Bounteous —Gurugram, Haryana
- Full-time
- Java
- AWS
- JavaScript
Software Dev Engineer II-TEST, Amazon Autos
ADCI - Haryana —Gurugram, Haryana
- Full-time
- Computer Science
- Java
- C++
Sr. Full Stack Developer(Laravel Framework)
SIEC Education Pvt. Ltd. —Janakpuri, Delhi, Delhi
- ₹60,000 - ₹85,000 a month
- Full-time
- Azure
- Computer Science
- Databases
- Health insurance
Quick apply
Full Stack Developer
Lister Digital —Gurugram, Haryana
- Full-time
- Java
- AWS
- JavaScript
AI Mobile applications developer(AI & FinTech)
Mounee Consulting Services —Gurugram, Haryana
- ₹70,000 - ₹1,30,000 a year
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Senior QA Engineer
Konrad —Gurugram, Haryana
- Full-time
- Computer Science
- Java
- Project management
- Work from home
Quick apply
Senior Engineer II
MKS Inc. —Gurugram, Haryana
- Full-time
- Oracle
- Salesforce
- AI
Quick apply
6d
Senior SDET
NTT Ltd —Gurugram, Haryana
- Azure
- DevOps
- SQL
8h
Calypso QA Analyst / Calypso Test Engineer
Luxoft —Gurugram, Haryana
- Computer Science
- English
- SQL
13h

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CJA Developer

Weekday -
Gurugram, Haryana

Quick apply

Job details

Full-time
₹15,00,000 - ₹25,00,000 a year
12 days ago

Qualifications

Power BI
Web analytics
Windows
Tableau
SQL
Agile
A/B testing
Martech
Affiliate marketing
AI
Python
Adobe Analytics
Marketing
Adobe Target
Analytics

Full job description

This role is for one of our clients

Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level

Min Experience: 4+ years
Location: Bengaluru, Gurgaon, Haryana, India, Pune, Maharashtra, India
JobType: full-time

We are looking for an experienced AEP/CJA Developer to support the migration, development, validation, and optimization of marketing analytics solutions using Adobe Experience Platform (AEP) and Customer Journey Analytics (CJA).

This is a hands-on technical role focused on rebuilding Adobe Analytics reporting in CJA, configuring data models and dataviews, developing clickstream-based reporting, and ensuring data accuracy across MarTech analytics pipelines. The ideal candidate should be comfortable working with AEP concepts, CJA, SQL, Databricks, and digital analytics data.

Requirements

Key Responsibilities

AEP & CJA Development

Develop and maintain analytics solutions using Adobe Experience Platform (AEP) and Customer Journey Analytics (CJA).
Support migration of existing Adobe Analytics reports, dashboards, segments, and calculated metrics into CJA.
Configure and validate XDM schemas, datasets, dataviews, dimensions, metrics, and calculated measures.
Build CJA Analysis Workspace projects and reporting solutions for web, marketing, and customer journey analytics.
Ensure consistency and accuracy between legacy Adobe Analytics reporting and CJA implementations.
Support analytics solutions across multiple markets, locales, languages, and digital properties.

Data Engineering & Validation

Work with clickstream and web behavioral data, including page views, visits, events, conversions, and traffic attribution.
Perform end-to-end validation between AEP, Databricks, CJA, and downstream dashboards.
Develop SQL queries to validate row counts, metric totals, dimension values, event data, and classification logic.
Identify, investigate, and document data discrepancies across analytics pipelines.
Create reusable SQL validation queries, comparison frameworks, and QA processes.
Support UAT and post-deployment validation for analytics implementations.

Reporting & Dashboard Development

Build and maintain dashboards and reports using CJA and Power BI.
Develop reporting solutions for campaign performance, landing pages, conversion funnels, email campaigns, experiments, and digital experiences.
Create pre- and post-migration dashboards to monitor data consistency and reporting accuracy.
Support scheduled data refreshes and reporting automation using Databricks and other data platforms.

MarTech & Analytics Integration

Support integration and reporting for marketing platforms such as Braze and experimentation tools.
Validate campaign events including sends, opens, clicks, conversions, and other engagement metrics.
Assist with analytics tracking for A/B testing and experimentation platforms.
Maintain channel, sub-channel, campaign, and traffic classification logic.

Documentation & Support

Document AEP schemas, datasets, CJA dataview logic, reporting standards, and validation procedures.
Create reusable templates and reference guides to enable self-service analytics.
Support weekly analytics reviews by identifying anomalies and preparing performance summaries.
Investigate ad-hoc analytics requirements and provide accurate, data-driven insights.
Work independently while proactively identifying blockers, data issues, and implementation gaps.

Required Qualifications & Experience

5+ years of experience in digital analytics, web analytics, MarTech analytics, or related technical roles.
Strong hands-on experience with Adobe Experience Platform (AEP).
Strong experience with Customer Journey Analytics (CJA) and CJA Analysis Workspace.
Solid understanding of XDM schemas, datasets, dataviews, and analytics data flows.
Strong SQL skills, including CTEs, window functions, joins, aggregations, and data reconciliation.
Experience working with Databricks or similar cloud/lakehouse data platforms.
Experience with clickstream, web behavioral, campaign, and conversion data.
Strong understanding of data validation, reconciliation, QA, and troubleshooting.
Experience building dashboards using Power BI, including data modeling and DAX.
Ability to work independently, manage priorities, and operate effectively in an Agile environment.

Good-to-Have Skills

Adobe Analytics
Adobe Target
Databricks
Braze
Tableau
A/B testing and experimentation platforms
Python for data validation and automation
Affiliate marketing and SEO analytics
Multi-locale/international web analytics

Must-have Skills

Adobe Experience Platform (AEP)
Customer Journey Analytics (CJA)
SQL

Good-to-have Skills

Adobe Analytics
Adobe Target
Databricks

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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