DQLabs
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About
DQLabs is an AI-powered data quality and observability platform that ensures reliable and accurate data for better business outcomes. It offers AI Agentic Data Management, automated data quality checks, anomaly detection, and semantics-driven data discovery. Key features include no-code checks, lineage, and governance. DQLabs helps organizations observe, measure, discover, and remediate data issues, improving data trustworthiness for critical decisions. Integrations with modern data stacks like Snowflake, Databricks, and AWS.
Platform
Task
Features
• anomaly detection
• data discovery
• data observability
• data quality
• semantics-driven discovery and categorization for faster insights
• lineage and governance
• no-code data quality checks
• ai agentic data management
Job Opportunities
Senior Full Stack Developer
DQLabs: AI-powered data quality and observability platform delivering reliable data through automation and AI Agentic Data Management.
Experience Requirements:
5+ years of experience with scripting languages/frameworks: Python, Django, React, JavaScript.
5+ years of experience with cloud platforms, with preferred skills in AWS cloud services such as MWAA, EKS, EC2, S3, RDS, Redshift, and Aurora.
3+ years of experience with big data and analytic platforms: Snowflake, Databricks, Spark, etc.
5+ years of experience in building web applications, preferably SaaS applications.
5+ years of experience in designing and integrating RESTful APIs.
Responsibilities:
Develop and maintain new API endpoints and front-end features.
Document the design, development setup, and troubleshooting steps for a service.
Produce high-quality complex deliverables with minimal input and supervision.
Participate in reviewing design and code for other team members.
Participate in the development process from definition to deployment.
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