Quality Analyst with Akeneo

ABN Innovations; India; On-site; INR 800,000 - 1,400,000; Full time

Job summary

ABN Innovations in India seeks a technical Data QA Analyst to manage data migration for a new Akeneo PIM implementation. The role focuses on backend data integrity, validating end-to-end product data from ERP & Cloudinary into Akeneo and verifying export schemas into SFCC.

You will validate inbound data, ensure completeness, enforce data governance, and scrutinize outbound XML against SFCC catalogs. Strong ETL testing and PIM experience are essential.

Qualifications

• Backend data migration and ETL testing experience.
• Ability to read large XML/JSON files to trace SKUs.
• Experience with Akeneo or similar PIM like Salsify.
• Familiarity with SFCC Site Development > Operations logs.
• Defect triage between source data errors and transformation bugs.

Responsibilities

• Inbound data validation from ERP & Cloudinary to PIM.
• Verify asset mapping and data completeness in Akeneo.
• Verify Akeneo schema vs Data Dictionary and governance of read-only fields.
• Validate outbound data to SFCC including XML against catalog.xsd and transformation logic.
• Monitor Import Catalog job in SFCC Business Manager.

Skills

Backend Testing

XML/JSON Literacy

PIM Experience

SFCC Knowledge

Defect Triage

Tools

Akeneo

Salsify

SFCC

Job description

Role Details We are looking for a technical Data QA Analyst to manage the data migration for a new Akeneo PIM implementation. This role is strictly focused on Backend Data Integrity. You will validate the end-to-end flow of product data from legacy systems (ERP & Cloudinary) into Akeneo, and verify the export schema into Salesforce Commerce Cloud (SFCC).

Key Responsibilities

1. Inbound Data Validation (ERP & Cloudinary -> PIM)

• * ERP Data Ingestion: Validate that raw product data (CSVs/Excel) extracted from the ERP is correctly normalized and loaded into Akeneo.
• * Check: Identify truncation issues, character encoding errors, or data type mismatches (e.g., ensuring numeric fields don't contain text).
• * Asset Mapping (Cloudinary): Verify that digital assets (Images, PDFs) from Cloudinary are correctly linked to SKUs in Akeneo via the API/Connector.
• * Completeness Rules: Test Akeneo "Families" to ensure data validation rules function correctly (e.g., products should not be marked "Complete" if missing a required ERP attribute).

2. Akeneo System Configuration

• * Schema Verification: Verify that Attributes, Categories, and Option Lists in Akeneo match the approved Data Dictionary.
• * Data Governance: Conduct specialized testing to ensure that "Read Only" fields (synced from ERP) cannot be edited by PIM users, while "Enrichment" fields function as expected.

3. Outbound Data Validation (PIM -> SFCC)

• * XML Schema Validation: Inspect the XML files generated by the Akeneo Connector before they are ingested by SFCC.
• * Goal: Ensure the structure matches the SFCC catalog.xsd schema.
• * Transformation Logic: Verify that the backend transformation scripts (written by the Developer) are correctly formatting data during the export.
• * Example: Stripping HTML tags from descriptions or converting "Blue" (Akeneo Text) to color-blue (SFCC Enum ID).
• * Job Monitoring: Monitor the "Import Catalog" process chains in SFCC Business Manager to confirm imports finish without error logs or skipped records.

Required Skills & Experience

• * Backend Testing: Strong experience validating data migration and ETL processes.
• * XML/JSON Literacy: Comfortable opening large XML files to trace a specific SKU’s data structure.
• * PIM Experience: Experience with Akeneo (preferred), Salsify, or similar PIM systems.
• * SFCC Knowledge: Familiarity with SFCC Business Manager (specifically the Site Development > Operations module for checking logs).
• * Defect Triage: Ability to distinguish between "Source Data Errors" (Client needs to fix the CSV) vs. "Transformation Bugs" (Developer needs to fix the code).