Job Purpose and Impact
We are building CRR (Corporate Risk Reporting), an enterprise platform delivering critical commodity risk insights. As a QA Engineer, you will be responsible for ensuring the accuracy, reliability, and consistency of data pipelines and risk reporting outputs. You will work closely with data engineers, SQL developers, and Application Developers to validate data flows and ensure alignment with business requirements.Key Accountabilities
Data & Functional Validation
Validate end-to-end data flows from source systems (SAP/ODP, CTRM, pricing) into Aurora/PostgreSQL.
Perform data validation and reconciliation to ensure accuracy, completeness, and consistency.
Support validation of risk outputs (positions, exposures, pricing, P&L;) against defined business logic
Pipeline & Ingestion Testing
Test ETL/ELT pipelines for correctness, data integrity, and consistency.
Validate snapshot and delta ingestion processes, including CDC scenarios.
Verify handling of edge cases such as data ordering, duplication (idempotency), and recovery.
Test Automation & Execution
Develop and maintain test cases and automated test scripts for data pipelines and SQL transformations.
Execute functional, regression, and integration testing across data and reporting layers.
Contribute to test automation frameworks using Python or similar tools.
Performance & EOD Validation
Support testing of high-volume data processing, especially end-of-day (EOD) workloads.
Identify data discrepancies and performance issues during peak processing.
Defect Management & Collaboration
Log, track, and support resolution of defects and data issues.
Work closely with engineers and analysts to analyze root causes and validate fixes.
Participate in test planning, sprint activities, and release validation.
Qualifications
Minimum requirement of 3 years of relevant work experience, typically reflecting 5+ years in QA/testing for data platforms, ETL pipelines, or analytics systems.
Proven ability to b
📌 Application Developer (India)
🏢 Cargill
📍 India