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Data Quality Engineer

Data Quality Engineer

CodeVyasaPalakkad, IN
7 days ago
Job description

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

  • Build 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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