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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics. Own data quality for key Salesforce data points, establishing processes and best practices to maintain and improve data integrity, and leveraging the latest tools for data cleansing.
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The candidate needs to have proven experience in defining and implementing a roadmap for data lifecycle management, including Data Governance, Master Data Management, Data Migration and Data Quality.
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Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption. Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks such as dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.
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Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data. This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures.
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Demonstrated understanding of core data management and governance principles, including Metadata Management, Data Quality Management, Data Stewardship, Data Change Management, and Data Classification and Privacy.
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Develop and enforce data engineering, security, data quality standards through automation. Ensure data quality by implementing re-usable data quality frameworks.
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Define data governance standards and processes to ensure data quality, integrity, and consistency. This leadership role would collaborate with the Sr. Director Risk Management to oversee the development and implementation of data-driven risk management strategies, predictive modeling techniques, and analytics solutions to support informed decision-making and enhance risk management practices.
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Utilizing data integration, data management, and data quality tools including, Talend, and SAS Data Quality; Utilizing Google BigQuery, Amazon Redshift, Azure Data Lake Analytics, or Snowflake data platform as training data sources for prediction algorithms.
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Data Governance: Apply core data management practices, including data governance, security, and quality assurance, to all aspects of the data architecture. DBT Experience: Familiarity with DBT (Data Build Tool) for data transformation and modeling.
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Accountable to executive the data quality issue management processes and partner across BUs / CFs and engineering teams to solution remediation plans and partner to execute those remediation plans.
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Oversee structured and patch cabling (copper and fiber) design and installation within data center and co-location facilities, including all patching and cross-connects for both data and storage networks and while ensuring client specifications and quality control is met.
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Responsibilities: Lead the development and build out of cloud data management solutions to support the Enterprise Data Platform (data pipelines, metadata, data catalog, reference data, and data quality)Reviews business context for data solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
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quality job Title: data in Atlanta, ME, Canada
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