Data Quality Engineer
24 hours ago
Jole OverviewWe are seeking a highly skilled and motivated Data Quality Engineer || Remote with 8+ years of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from youAbout UsCodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.Must-Have SkillsPython (Advanced): Ability to write clean, testable, automated scripts; experience with Pandas/NumPy; API integrations.SQL: Strong query writing, optimization, data validation, and debugging.LLM & RAG: Experience in building, testing, and validating large language model pipelines, retrieval-augmented systems, and embeddings workflows.Data Quality Frameworks: Designing and implementing quality checks, validation rules, anomaly detection workflows.Data Fluency: Strong understanding of structured & unstructured data, schema design, metadata, and lineage tracking.ResponsibilitiesBuild and maintain scalable data quality frameworks across datasets, pipelines, and AI/ML platforms.Validate inputs/outputs of LLM and RAG architectures to ensure accuracy, relevance, and consistency.Develop automated Python-based testing and monitoring scripts .Partner with data engineers, ML engineers, and product teams to strengthen data governance.Create dashboards, reports, and alerts for continuous data quality monitoring.Perform root-cause analysis and drive long-term corrective actions.Ensure compliance with internal data standards and client requirements.Why Join CodeVyasa?Work on innovative, high-impact projects with a team of top-tier professionals.Continuous learning opportunities and professional growth.Flexible work environment with a supportive company culture.Competitive salary and comprehensive benefits package.Free healthcare coverage.
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