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Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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In particular, this role leads data governance, data vendor contract management, and the administration of pricing information across PR USA systems. Master Data Management Assess and streamline data permissions & security processes Direct data governance user acceptance testing in support of QA to PROD deployment Drive global data hierarchy standardization Analyze, visualize, and optimize data streams and related processes Build and own the data governance issue backlog; manage improvements for business needs Lead effective collaboration with global Key Digital Program initiatives.
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Build secure access controls and policies using modern-era tools and techniques (e.g. WebAuthn, Okta SSO, Okta Identity Governance OIG, PKI, JIT access) Oversight on Deploy Data Loss Prevention (DLP) solutions focusing on PII and PCI related data that may be in SaaS applications (e.g. GWork, Jira, Confluence, Salesforce, ServiceNow.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID. Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Manager) (Multiple Positions.
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4+ years experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets.
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As a governance subject matter expert, your work will focus on driving data security and leading the regulatory and contractual compliance initiatives across our infrastructure. Extensive experience implementing data governance programs.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Experience with data governance(data plex), data security, and compliance best practices on GCP. " Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with big data tools: BigQuery, Athena, etc. 6+ years of experience with data visualization tools (Tableau, Looker, etc. We are looking for a sharp and highly analytical data Analyst to join our fast-growing company and help us make data-driven decisions for performance optimization.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks, with a focus on scalability and real-time processing capabilities.
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As the CDO, you will have overarching responsibility for defining and developing the firm's data management framework, encompassing data architecture, data governance, and data quality standards.
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Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (SDLC) (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other Azure cloud environments.
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Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS. The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide.
$38.45 - $87 an hourInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 2 years of hands-on experience with Azure, databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Build robust and reliable ETL pipelines with best practices and data governance in mind using Python, SQL, Prefect, Databricks, Kafka, and PostgreSQL. Organize product data in our Databricks Lakehouse.
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big data governance jobs Title: transfer pricing manager in New York, NY
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