
Data Quality Engineer
24 hours ago
Our Ai/ML engineering team ensures innovative, immersive web
experiences that delight our clients and their customers. We are always striving to balance the
demanding nature of working on cutting-edge technologies with the real-world demands of
high performance, high security, and accessibility. Working in collaboration with our multi-
disciplinary engineering, design, and quality assurance teams, you will build software that
solves real-world problems for incredible clients.
WHAT YOULL DO:
• Data Validation and Testing: Develop and implement testing procedures to validate the
integrity and accuracy of data pipelines, databases, and datasets
• Data Audits: Regularly conduct audits on data to identify discrepancies, errors, and
inconsistencies across systems
• Data Quality Frameworks: Design, build, and maintain data quality frameworks that
track data integrity, accuracy, completeness, and consistency
• Root Cause Analysis: Identify the root cause of data quality issues and work with data
engineers and system architects to implement long-term solutions
• Data Governance: Collaborate with data governance teams to ensure compliance with
data management policies, standards, and regulations
• Automation: Create automated monitoring and alerting systems for real-time data
quality 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, and
product management, to ensure data requirements meet business needs
WHAT YOULL NEED:
• Proven experience in data quality, data analysis, or data engineering roles
• Strong knowledge of SQL and experience working with relational databases
• Familiarity with data quality tools and technologies such as Talend, Informatica, or
Apache NiFi
• Experience with data validation and quality testing frameworks
• Knowledge of ETL processes and data warehousing solutions
• Strong analytical and problem-solving skills
• Excellent attention to detail and commitment to accuracy
• Ability to communicate technical concepts to non-technical stakeholders
• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of scripting languages such as Python or R
• Familiarity with data governance frameworks and practices
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