DQ Ataccama 1 YEAR C2H

Job Responsibilities: Ataccama ONE Implementation: Leverage the features of Ataccama ONE to establish and maintain robust data quality processes. Implement data remediation processes and DQ workflows across various domains, ensuring data integrity and consistency. Develop and manage Data Quality scoreboards and dashboards to monitor and report on data health metrics. Utilize Ataccama's AI-driven capabilities to automate and enhance data quality management. Ataccama Data Remediation: Identify and rectify data quality issues at the source, implementing corrective actions to prevent recurrence. Collaborate with data owners and stewards to ensure adherence to data quality standards and policies. Data Observability: Monitor data pipelines and systems to detect anomalies, ensuring timely interventions to maintain data reliability. Implement tools and processes for continuous data monitoring, leveraging Ataccama's data observability features. Ataccama Docs Augmented Data Quality: Apply AI and machine learning techniques to enhance traditional data quality processes, enabling proactive data management. Stay abreast of industry trends and best practices in augmented data quality to drive continuous improvement. Gartner Required Skills: Extensive experience in implementing and managing data quality solutions using Ataccama ONE. Strong understanding of data remediation processes and the ability to address data quality issues at their source. Proficiency in developing and utilizing data quality scoreboards and dashboards for monitoring purposes. Familiarity with data observability concepts and tools to ensure comprehensive data monitoring. Knowledge of augmented data quality methodologies, including the application of AI and machine learning in data quality management. Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication and collaboration abilities to work effectively with cross-functional teams. Preferred Qualifications: Certification in Ataccama ONE or related data quality tools. Experience in data governance and master data management practices. Background in industries with stringent data quality requirements, such as finance, healthcare, or telecommunications.