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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Implement best practices for data management, security, and governance within the Databricks environment.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Experience in Implementing tools and services in data security and data governance domains such as data modeling, data classification, data access control, data masking, data quality, metadata management, catalog, auditing, balancing, reconciliation, and data privacy compliance like GDPR & CCPA.
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As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers.
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Our practice specialties include operational risk management, internal and external compliance, Financial Crimes prevention, Governance Risk and Compliance (GRC) capabilities, and digital fraud solutions.
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Functional understanding and familiarity with modern data platforms such as Databricks or Snowflake would be a big plus. Familiarity with data governance principles and practices, including metadata management and data quality assurance.
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O Governance of overall D&A platform ecosystem with focus on process and solutions catering to Data masking (PII management), data lifecycle management needs- DevSecOps Solution Responsibilities: o Develop effective tooling, alerts, and response mechanisms to identify and address reliability risks leveraging automation to support problem prevention, detection, mitigation, and resolution.
$126,160 - $189,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
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Desired Experience Extensive experience with Microsoft Azure and Office 365 (IAM, PIM, Identity Governance, Azure Policies, Entra, Intune, DLP, IaaS). Job Summary This technology-focused role ensures the confidentiality, integrity, and availability of information systems and data at our company.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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Conducts root cause analysis of issues; reviews new and existing codeImplements continuous integration/continuous deployment (CI/CD) processes to ensure quality and efficiency in the development cycle using tools such as Jenkins, Git, Gradle, Spinnaker, JFrog, etc.
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Strong experience in case management, data modelling, system integration, agents, user experience design, security, background processing, performance, deployment, and unit testing. Strong data analysis skills.
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Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers program and other employee discount programs. Provides technical expertise in the establishment and implementation of standards and guidelines that guide the design of technology solutions including architecting and implementing solutions requiring integration of multiple platforms, operating systems, and applications across the enterprise.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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big data governance integration jobs Title: big data engineer in Charlotte, NC
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