Data Quality EngineerCodeVyasa • Nadiad, IN
No longer accepting applications
Data Quality Engineer
CodeVyasa • Nadiad, IN
9 days ago
Job descriptionBuild 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. 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.
Jole Overview
We 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 you!
About Us
CodeVyasa 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 Skills
- Python (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.
Responsibilities
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Quality Engineer • Nadiad, IN
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