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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Data Governance Knowledge Skills Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality Ability to implement and enforce data governance standards.
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Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling.
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Enterprise Data Management: Proficiency in data management strategies including data governance, data quality, and master data management. As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Minimum of FOUR (4) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Consistent with Model Risk Management policies and procedures Support capital stress testing process enhancement, control, challenge, governance and. financial risk management (such as CFA, FRM or MBA) is a strong plus.
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Expertise with data profiling, data cleansing, data matching and/or other related data governance / management tools (like Informatica Data Quality Explorer, Talend Open Studio, Alteryx Designer, Data Cleaner, Dataiku DSS, RapidMiner, IBM Infosphere.
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The Guidehouse Team supports the OSE Data Governance Division by performing data quality, data metrics, data sharing, data governance, and data analysis initiatives as well as configuring and performing operations & maintenance on a COTS data governance tool.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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5+ years of data engineering experience with building/maintaining scalable big data infrastructure, using and creating data models, data taxonomy, data encoding, specifications & standards, and ensuring data quality management.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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