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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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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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Establish preventative and detective data quality controls, both technical and operational. A critical role within the segment's data governance capability, the candidate will help accelerate data management improvements by developing a deep understanding of business processes and supporting critical data and the standard of care required to ensure data is of high quality for transactional and analytical use cases.
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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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The successful candidate will work remotely and will be responsible for managing and optimizing large-scale data systems, supporting data integration and transformation, and ensuring data quality and accessibility.
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Who You Are:CPA and/or audit experience preferred but not required Minimum 5years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics Minimum 2 years of transaction experience focused on quality of earnings, net working capital, and cash flows Minimum 2 years of experience with one or a combination of the following: Data Visualization Tools: Experience with , Tableau, PowerBI, Spotfire, or similar platforms.
$180,000 depends on experience (equity, bonuses)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This job reports to the Senior Director, Data, Analytics, and Research in the Organizing, Engagement, and Campaigns (OEC) team of PPFA and is tied to the 2024 Election Cycle. The Data, Analytics, and Research Team provides strategic, data-driven guidance to OEC and the Policy, Campaigns, and Advocacy division and supports the critical work of the Federation, Action Fund, Votes, and local Planned Parenthood organizations to conduct equitable, efficient, and effective campaigns.
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Minimum of 10 years of experience in supply chain and operations data as well as information systems such as: supply chain planning systems, automation systems, MES/DCS, machine sensorization, predictive maintenance, line scheduling, OEE or equivalent metrics, quality processes, yield optimization, etc.
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Deep understanding of data management capabilities, inclusive of data quality, traceability, data lineage, quality, metadata management and integrity principles, and regulatory reporting instructions; working knowledge of data management tools and technologies such as data modeling, data profiling, data cleansing, ETL/ELT processes, and relational/non-relational databases.
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Expertise in Data warehousing - data modelling, relational and Dimension modelling, Data quality, data catalog and Data Governance. Drive data access governance towards transparency, auditability, Data quality, Accountability, Stewardship, Standardization of Definitions, Collaboration.
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Experience with indirect and direct leadership of engineering teams Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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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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Define rules and dashboard for supplier data quality management with Information Steward. Define/Build Supplier migration strategy with BODS Data Steward. Minimum 3-full life cycle implementation of SAP MDGo Own design associated with Supplier Data objects and data attributeso Accountable and responsible owner for the functional data definitions, data standards, and use in data dictionary repository tied to process standards in SAP MM/Procuremento Work with network of workstream specific business data experts from all Client Business/functions to align on data definitions, data standards, and use in SAP MM/Procurement.
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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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data quality jobs Title: data in Atlanta, MS, United Kingdom
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