AEP/CJA Developer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
What this role asks for
Particular to this role
Databricks · Power BI · Tableau
Rare in Weekday AI's other 299 open postings.
Standard for software engineering roles
Python
Common in software engineering postings at any company.
Read against Weekday AI's other open postings on this site.
The team: Weekday's Client via platform HIRES STEADILY
This role is one of 215 open in Weekday's Client via platform. 106 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (75 of 215), CI/CD (62 of 215), AWS (58 of 215), SQL (58 of 215), Azure (49 of 215), GCP (39 of 215), LLM (39 of 215)
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From the team and dates on Weekday AI's own job board.
About the role
This role is for one of Weekday’s clients
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
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