KDB Testing Professional

Role Description

We are seeking a Senior QA Engineer with strong hands-on experience in KDB, SQL-based validation, and Azure data ecosystem. The role involves ensuring data quality, integrity, and performance across complex, high-volume data pipelines supporting analytical and reporting applications.

Key responsibilities

• Design and execute data validation strategies for KDB time-series databases and Azure-based data assets.
• Develop and maintain test cases, queries, and automation scripts to validate data ingestion, transformation, and reporting accuracy.
• Perform end-to-end validation of data flows across Azure Data Lake, Synapse, Data Factory, and KDB environments.
• Collaborate with Data Engineers and Developers to troubleshoot defects, identify root causes, and recommend remediation.
• Validate data lineage, schema mappings, and reconciliation between source and target systems.
• Leverage SQL and q-scripting (KDB) for data profiling, anomaly detection, and quality assurance.
• Participate in agile ceremonies and support continuous integration/testing processes for data pipelines.
• Ensure adherence to organizational data governance, compliance, and QA best practices.

Technical skills requirements

• 5-7 years of experience in data QA/testing roles.
• Strong proficiency in SQL for large-scale data validation and reconciliation.
• Mandatory: Hands-on experience with KDB/q for querying and testing time-series data.
• Experience with Azure Data Assets - Data Factory, Synapse, Blob Storage, Data Lake.
• Strong understanding of data warehousing concepts, ETL testing, and data lineage validation.
• Familiarity with API testing and integration testing for data ingestion flows.
• Excellent analytical, communication, and problem-solving skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.