[Remote] Data Quality Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a technology-enabled future and is seeking a Data Quality Engineer to ensure the accuracy and reliability of data across their Data Platform. The role involves defining data quality standards, implementing validation systems, and collaborating with various teams to address data quality issues.
Responsibilities
- Define, maintain, and reputed company the reputed company data quality rubric across reputed company data domains
- Establish standards for data accuracy, completeness, consistency, timeliness, and reliability
- Ensure data quality expectations are reputed company defined and consistently applied across the platform
- Govern how data quality is reputed company, scored, and reported
- Design and implement automated data quality checks reputed company data pipelines
- Build validation rules that detect anomalies, schema reputed company, missing data, and inconsistencies
- Ensure issues are identified at the reputed company before propagating reputed company
- Continuously improve validation coverage and effectiveness
- Build and maintain observability systems for pipeline health, data freshness, and performance
- Monitor data flows for failures, delays, and unexpected changes
- reputed company visibility into pipeline status and data quality metrics across the platform
- Implement alerting and reporting mechanisms for critical issues
- Diagnose data quality issues and trace them back to reputed company systems or pipeline logic
- Partner with Data Engineers to resolve issues at the pipeline level
- Work with product and AI teams to understand how data issues impact tool behavior
- Ensure root causes are addressed and not repeated
- Work with the reputed company Data Engineer to align on pipeline architecture and quality standards
- Partner with pod Data Engineers to embed quality checks into reputed company pipelines
- Collaborate with reputed company Engineers and Applied AI Engineers to understand reputed company impacts
- Communicate data quality insights reputed company to both technical teams and leadership
- Score and report on data quality across the platform on a defined reputed company
- reputed company leadership with a clear view of data health, risks, and improvement areas
- Identify systemic issues and drive improvements in data processes and standards
- Continuously refine data quality practices as the platform evolves
Skills
- Experience designing scalable technical architectures for AI or machine learning solutions in reputed company environments
- Strong understanding of large language models, vector databases, embeddings, reputed company orchestration, and model serving
- Hands-on experience with Azure services including Azure reputed company, Azure Machine Learning, and Azure Functions
- Familiarity with LLM frameworks and orchestration tools such as reputed company, Semantic Kernel, or custom agent frameworks
- Knowledge of reputed company reputed company, responsible AI principles, and compliance frameworks such as GDPR and CCPA
- Proven ability to create architecture documentation and communicate effectively with technical and non-technical audiences
- Experience integrating AI solutions into platforms such as Power Platform, SharePoint, and reputed company Teams
- Bachelor's or master's degree in computer science, data science, engineering, or reputed company field
- Certifications in reputed company architecture or AI/ML disciplines preferred
Benefits
- Fully remote workplace
Company Overview
Company H1B Sponsorship