
Job description
We are looking for a QA Engineer with strong experience in data platform validation to ensure quality, accuracy, and reliability of data pipelines and lakehouse architecture built on AWS and Snowflake.
Design and execute test strategies for data pipelines, validate data ingestion, transformation, and storage, and develop automated test frameworks for large-scale data validation.
The ideal candidate will have hands-on experience testing ETL/ELT workflows, big data systems, and data quality frameworks, and will collaborate with data engineers and stewards to enforce data quality rules and governance standards.
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Tech, Software & IT Services • Corporate Services
EXL Service is a global analytics and digital transformation firm that delivers end‑to‑end solutions in operations management, decision analytics, AI, automation, and industry‑specific services across finance, insurance, healthcare, utilities, and logistics. Leveraging deep expertise in data science, change management, and industry practices, the company designs customized, outcome‑focused strategies that replace generic, resource‑intensive platform rollouts with integrated, value‑chain‑aligned interventions. EXL’s collaborative approach—rooted in continuous listening and learning—ensures that each solution is tailored to a client’s unique culture, legacy systems, and strategic goals, enabling faster, smarter decisions and sustainable competitive advantage. By combining analytics, digital innovation, and operational excellence, EXL helps organizations scale AI, redesign operating models, and drive revenue growth while maintaining efficiency at scale.