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Data Quality Professional

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Freelance Data Quality ExpertAs a Freelance Data Quality Engineer, you will work on multiple projects with experienced developers. With 8+ years of experience in data quality, you'll have the flexibility to work 35 hours a week, 100% remotely.This opportunity offers a long-term engagement for high performers.Must-Have Skills:Python: Develop clean, automated scripts using Pandas, NumPy, and API integrations.SQL: Design strong query writing, optimization, data validation, and debugging skills.LLM & RAG: Build, test, and validate large language model pipelines.Data Quality Frameworks: Design quality checks, validation rules, and anomaly detection workflows.Data Fluency: Understand structured & unstructured data, schema design, metadata, and lineage tracking.Responsibilities:Develop scalable data quality frameworks across datasets and AI/ML platforms.Validate LLM and RAG architectures for accuracy and consistency.Develop automated testing and monitoring scripts.Partner with data engineers and product teams to strengthen data governance.Create dashboards and reports for continuous data quality monitoring.Requirements:• Min 8yrs of experience