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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Will assist in the rollout of CNB's Data Governance reporting and strategy structure that includes: Data Governance and Policy, Data Quality and Control, Data Strategy and Architecture, Master Data Management, and Analytics Data Management.
$92,114 - $156,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data services layer including ATHENA, redshift, RDS, microservices and APIS. Migrate data from traditional file systems and NAS shares to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Ensure data quality, integrity, and security across all data systems. Collaborate with Data Scientists, Business Intelligence Engineers, Data Engineers, and other stakeholders to understand data needs and deliver high-quality data solutions.
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Lead and manage engineering projects in collaboration with other team members (including with offshore talent partners) to ensure rapid development of quality, scalable and sustainable data solutions, with global best practices and consistency.
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Proven ability to improve supplier quality through direct engagement, performance data analysis, and supplier corrective action requests. Understand and prioritize supplier quality issues and performance by analyzing key supplier performance data.
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Collaborate with data analysts, scientists, and architects on data projects to enhance data acquisition, transformation, organization processes, data reliability, efficiency, and quality.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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The Senior Strategic Data Scientist at CoverMyMeds makes a significant contribution to the success of our company. BA/BS degree in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or equivalent quantitative field.
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The candidate will be expected to be familiar with system reliability engineering tools, such as reliability block diagram, statistical modeling and data analytics. The candidate should have experience in using Physics-of-Failure based approach to develop and implement both analytical and empirical approaches for product quality/reliability risk identification and assessment during product design, manufacture as well as deployment stages.
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The Supplier Quality Engineer will analyze field, production, and supplier data to develop plans and improvement actions as well as while driving root cause and corrective actions on major quality excursions and impacts to yield rates.
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Examples of specialized experience for this position may include: Experience applying knowledge of statistical theories, principles, concepts and practices that relate to experimental design, data analysis, sampling, forecasting, quality control, and operations research to understand, model and improve program operations.
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Manage data quality testing schedules to ensure all tasks and reporting are completed within established timeframes. You will partner with the Fair Lending Business Data Manager and Fair Lending Data Management team to assess and evaluate fair lending performance of CRB third-party Partners, perform transactional testing, identify and resolve control deficiencies, and execute remediation plans.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Utilize Azure services like Azure SQL Database, Azure Synapse, Databricks, Azure Blob Storage, and Azure Data Lake for efficient data storage and access. Hands-on experience with Azure cloud services, especially those related to data management (e.g., Azure SQL Database, Azure Synapse, Azure Data Factory.
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data quality jobs Title: data scientist Company: Deloitte in Clifton, NJ
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