Senior Data Engineer
... by downstream analysts to ensure data is being delivered in a timely manner that does not cause slowdowns. Data quality – Ensuring both internal and external data sources are accurate and up ...
... by downstream analysts to ensure data is being delivered in a timely manner that does not cause slowdowns. Data quality – Ensuring both internal and external data sources are accurate and up ...
... excellence in the Experimentation Quality and Causal Inference. You will be applying Data Science & Analytics techniques within your ... impact and sustaining quality standards and shared methodologies for data management, analyses, and insights.Operating ...
... knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data quality, data lineage, meta data management, data methodologies, data analytics and reporting, and the ...
... translate & apply business rules to data quality rules.QualificationsExtensive experience applying data quality principles to deliver high-quality data assetsExperience in data quality and management platforms, query and ...
... reports to the Senior Manager, Data Engineering and has been categorized ... coding standards, best practices and data governanceLocation and Travel: At Balsam ...
... audience and data coverage questions.- Work with Tech teams in order to ensure all of our providers match our quality standards.- Support the Epsilon Product ... be able to quality check work to ensure that data anomalies mistakes are caught prior ...
... • Roll out an enterprise wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior ...
... building in means to monitor data health and state of intermediate data and alerting mechanismsDesign Quality Control Validation processes Quality Gates Technologies and standards:Proficiency ...
... Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes.• Design of data pipelines for data ingestion and data transformation and ensure the reconciliation ...
... building in means to monitor data health and state of intermediate data and alerting mechanismsDesign Quality Control Validation processes Quality Gates Technologies and standards:Proficiency ...