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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Expert understanding of the electrical and mechanical systems used in a facility and data center environment, including, but not limited to the following: electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems.
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Admission and Recruitment Marketing, the Generalist/Data Processing Clerk works as part of a team to. The Generalist/Data Processing Clerk will handle general. the Generalist/Data Processing Clerk will.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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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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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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About The RoleAs a Workday HR Data Analyst you will play a crucial role in analyzing and interpreting data to drive informed business decisions in a fast paced, growth oriented global organization.
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Utilize programming languages like Java, Scala 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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Understanding concepts of programmatic media, ad serving, ad serving platforms, ad trafficking process, attribution models based on impression, click, IDFA, ADID, etc., basic data security policies/strategies, privacy regulations (such as CCPA, CPRA, GDPR, and etc.
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Prior experience in medical claims data sets (IMS, SDI, Symphony, Flatiron) is a plus, as is prior marketing research experience. Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing.
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Interacting and collaborating with Senior PwC SAP Practice Leaders to drive industry best practices and provide thought leadership across projects involving SAP Master Data Migration/Management, SAP Data Governance, Planning and Consolidation, Data Warehousing, Data Modeling over HANA, SQL or Cloud databases and, Data Visualization and Reporting.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments.
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Data engineering skills using Databricks and SnowFlake, ETL tools like Informatica, virtualization tools like Starburst, TIBCO composite, etc. This new role will ensure that enterprise data flows, especially those supporting regulatory reporting and risk and financial decision making, evolve to more streamlined data pathing with fewer hops and duplications.
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data job Title: school science teacher in Montclair, NJ
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