Data Quality

Our Ai/ML engineering team ensures Code and Theory delivers innovative, immersive web
experiences that delight our clients and their customers. We are always striving to balance thedemanding nature of working on cutting-edge technologies with the real-world demands ofhigh performance, high security, and accessibility. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software thatsolves real-world problems for incredible clients. WHAT YOULL DO:• Data Validation and Testing: Develop and implement testing procedures to validate theintegrity and accuracy of data pipelines, databases, and datasets• Data Audits: Regularly conduct audits on data to identify discrepancies, errors, andinconsistencies across systems• Data Quality Frameworks: Design, build, and maintain data quality frameworks thattrack data integrity, accuracy, completeness, and consistency• Root Cause Analysis: Identify the root cause of data quality issues and work with dataengineers and system architects to implement long-term solutions• Data Governance: Collaborate with data governance teams to ensure compliance withdata management policies, standards, and regulations• Automation: Create automated monitoring and alerting systems for real-time dataquality checks and issue detection• Documentation: Maintain comprehensive documentation of data quality processes,procedures, and results to ensure transparency and traceability• Work closely with cross-functional teams, including data engineering, data analytics, andproduct management, to ensure data requirements meet business needsWHAT YOU’LL NEED:• Proven experience in data quality, data analysis, or data engineering roles

Role & responsibilities

Preferred candidate profile