Data Quality Engineer

Jole Overview

Data Quality Engineer || Remote with 8+ years

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.