ERP Logic Israel, SAP Partner
Website:
erplogic.co.il
Company:
https://www.linkedin.com/company/erp-logic-israel
Seniority: Entry level
Industries: Information Technology & Services
Job details:
Company Description
ERP Logic Israel, SAP Partner, is part of a global SAP cloud solutions company delivering SAP implementation and application services to large enterprises and mid-sized organizations. The company helps customers upgrade their ERP systems to SAP S/4HANA Grow, S/4HANA Rise, SAP Business ByDesign, and SAP ECC. As one of the top three SAP reseller partners worldwide for SAP S/4HANA Grow and S/4HANA Rise, ERP Logic serves over 500 customers and continues to expand. Founded in the US in 2009 and in India in 2011, the organization has grown to around 1,000 employees with offices across Europe, the Middle East, and Israel. ERP Logic is privately held, profitable, and recognized for long-term customer relationships and deep expertise in ECC and S/4HANA ERP strategies.
Job Summary
We are seeking an experienced QA Engineer to validate a metadata-driven Data & AI platform that processes Pharmacovigilance case data through Azure Data Factory, Databricks, Microsoft Foundry AI services, and JSON-based integrations. The QA Engineer will be responsible for validating data accuracy, metadata-driven execution, XML-to-JSON transformations, pipeline reliability, auditability, and end-to-end functionality across the solution. The role includes integration, system, and UAT support activities.
Key Responsibilities
Test Planning & Analysis
- Review business requirements, source-to-target mappings, metadata specifications, and solution design documents.
- Develop Test Strategy, Test Plan, Test Scenarios, Test Cases, and Traceability Matrix.
- Participate in requirement reviews and identify testability gaps and risks.
- Define test data requirements and validation criteria.
Data Validation Testing
- Validate XML ingestion and parsing processes.
- Verify XML-to-JSON transformation accuracy.
- Perform source-to-target data reconciliation.
- Validate field mappings, business rules, and transformation logic.
- Execute record count validation and completeness checks.
- Validate metadata-driven execution across multiple file types and sources.
ETL / Data Pipeline Testing
- Validate Azure Data Factory orchestration workflows.
- Verify Databricks notebook execution and processing logic.
- Validate control table updates and status tracking.
- Test pipeline restart, recovery, and error-handling mechanisms.
- Perform end-to-end data flow validation across ingestion, processing, and output layers.
AI / Generative AI Validation
- Validate AI-generated JSON content against business expectations.
Integration Testing
- Validate integration between:
- Azure Data Factory
- Azure Storage
- Azure Databricks
- Microsoft Foundry AI Services
- Control Tables
- Verify data movement between components.
- Validate audit trail and status tracking mechanisms.
Quality & Compliance Validation
- Validate auditability and traceability of processed records.
- Verify error, duplicate, and success record routing.
- Ensure processing status updates are correctly captured.
- Support validation documentation and compliance evidence collection.
- Assist with UAT and business validation activities.
Defect Management & Reporting
- Log, track, and manage defects through closure.
- Conduct root cause analysis and retesting.
- Provide daily and weekly quality status reports.
- Support Go-Live readiness assessments and hypercare activities.
Required Experience
- 6+ years of Software Testing experience.
- Minimum 5+ years of Data Testing / ETL Testing experience.
- Experience testing Azure Data platforms.
- Experience creating complex SQL queries for data validation.
- Experience with API, XML, and JSON testing.
- Experience in Agile/Scrum delivery environments.
- Experience with regulated environments is preferred.
Required Technical Skills
Data Testing
- ETL/Data Warehouse Testing; Source-to-Target Validation; Data Reconciliation; Data Quality Testing; SQL Query Development; Data Profiling
Cloud & Data Technologies
- Azure Data Factory (ADF); Azure Databricks; Azure Data Lake Storage (ADLS); Azure SQL / SQL Server; Control Table Validation
File Testing
- XML Validation; JSON Validation; CSV / Excel Data Validation
Test Management
- Jira; Xray / Azure DevOps; Test Planning & Traceability; Defect Lifecycle Management
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