Looking for a
Freelance Data Quality Engineer
to join a team of rockstar developers. The candidate should have a minimum of 8+ yrs. of experience.
There are multiple openings. If you're looking for freelance / part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans / BITS grads with 10+ years of development experience + work with F500 companies (our customers).
Company Background
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.
What we need
Quality Engineer • Delhi, India