Job Description

Company Overview
Incedo is a US-based consulting, data science and technology services firm with over 2,800 people helping clients from our six offices across US and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, financial services, product engineering and life science & healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities are also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.
Role Description
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
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.

Nice-to-have skills
Nice-to-have skills

• Exposure to Python-based automation or CI/CD pipelines (Azure DevOps).
• Understanding of data governance, metadata management, and quality frameworks.
• ISTQB or equivalent QA certification.

Qualifications

• Bachelor's Degree in Computer Science or related science field or equivalent.

Qualifications
Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required