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In-depth knowledge of data governance policies, metadata management, and regulatory compliance requirements, with a focus on protecting sensitive data and ensuring data privacy and security.
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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. How you will contribute:Be a leader of the RDQ data program that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly allow inspiring technologies for insight derivation.
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7+ years of experience successfully establishing effective data governance/management in a large, complex organization with expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions.
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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Grow into a Big Data professional or Technical Architect role over a period.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles.
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Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Leading activities related to the Candidate and Recruiting’s Data Governance strategy, including: Metadata Management, Data Lineage, Master Data mgmt., Data Quality, Data Architecture, and informing Data Product development priorities.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Specific systems include Tenable, Nessus, Invicti, Splunk, and other vulnerability management solutions (e.g., enterprise patch management). Software needs might include ServiceNow, SharePoint, Adobe Forms, automated email messaging, PowerApps, Tableau for visualization, and Splunk.
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big data governance management visualization jobs Company: Goldman Sachs
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