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Working knowledge of UiPath Cloud’s ecosystem of tools, including Orchestrator, Studio, Document Understanding, AI Center, Connectors, RE Framework, Integration Services, Data Service, Insights, Process Mining, Task Mining, Test Automation, etc.
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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4 plus years supply chain experience with focus on Master Data Management at the enterprise level. Design and implement master data enterprise level solutions in collaboration with product owners, reporting/data analysts, and business partners for the solution life cycle: capturing requirements, translating functional requirements into technical requirements, supporting design, developing process maps, supporting testing, and implementation of the solution.
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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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CoStar Real Estate Manager is looking for a Senior Data Operations Specialist to join a highly motivated team that is responsible for the daily operations of CoStar’s data environments. Sr. Data Operations Specialist - Atlanta.
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Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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The IETAM applies business knowledge and trends to drive innovation across all technologies, including Media Supply Chain, Live and On-Demand Video Streaming, Content Production, Media Data Analytics, Artificial Intelligence for Media, Compute, Database, Data Analytics, Application-level services, Networking, Serverless and more.
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Must have multiple examples of managing large, enterprise-level data and ML engineering projects. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Create reporting and data automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau and Workday. As a Data Analyst II, Dashboards reporting to the Manager, Dashboards, you will play a pivotal role in supporting the execution of the reporting needs including the dashboards and reporting strategy within the People Analytics team.
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Working knowledge of at least two claims data sets (e.g. IQVIA, Symphony, Healthverity, CMS, DRG, Compile, Komodo, Truven, etc.) Proficiency in handling large amounts of data in at least one of the following cloud computing tools: Snowflake, Microsoft Azure cloud, or AWS.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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The Georgia Dept. of Transportation (GDOT) seeks a GIS Data Manager who will upgrade and implement changes to vector and raster geodatabases including Esri Roads and Highways. Provides ETL functions for processing data into Esri geodatabases through Esri Model Builder, Workflow Manager,and SafeSoftware FME. Will be responsible for ensuring geodatabase data integrity and quality including publishing metadata, validating data update cycle and reporting data quality issues to data stewards.
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You will collaborate with the project team and Salesforce Technology Architects to understand requirements from business stakeholders, establish and deliver best practices, and maintain a high level of quality within the Data Cloud technology environment.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Utilize analytical tools and scripting languages (SAS, SQL, R, Python) to access and analyze data. 2 years of experience in an analytics setting, or a combination of higher education and experience (Mid-Level.
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level data mining jobs Title: data in Georgia, GA
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