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The Construction Project Manager will be responsible for all aspects of managing a data center construction project. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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340B Revenue Management: Analyze complex financial and non-financial 340B revenue data from external pharmacies and suppliers, identifying trends, variances, and improvement opportunities. Title: Revenue Analyst Reports to: Chief Finance Officer Position Overview: Join Resource Center, a leading nonprofit organization, as a revenue Analyst.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Technical capabilities should include proficiency with any one of the following: Microstation, OpenRoads, Civil 3D, Trimble Business Center and/or Carlson Survey and Microsoft Office products are preferred.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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We are seeking a highly skilled Data Scientist with expertise in supply chain operations. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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Expertise developing and maintaining data catalog tools and technologies, such as metadata management systems, data cataloging platforms, and data lineage tools. Experience with Master Data Management (MDM) concept, tools and practices.
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O CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree. o Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
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data center jobs Title: data scientist Company: Perspecta in Dallas, TX
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