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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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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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Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices. Demonstrated experience in reviewing enterprise and data architecture artifacts, deliverables, and processes for quality standards.
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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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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
Starting at $20 an hourRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Data risk management to avoid data loss, manage access to data in a responsible way, and ensure that data quality is trustworthy and fit for purpose, i.e. accountable for the integrity of data, data designs, data security architecture and associated controls.
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O Facilitate an ongoing, formal partnership via a dotted-line relationship with the CAS Data Analytics team's Data Science Manager. 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.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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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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As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
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Functionin a water process engineer role as a technical specialist or in a lead process engineer in the areas of conventional water treatment using processes such as coagulation, clarification, softening, media filtration; and advanced water treatment processes such as membrane filtration, reverse osmosis (brackish, seawater), UV/AOP, ozonation, carbon adsorption, and/or distribution system water quality.
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The Construction Project Manager will be responsible for all aspects of managing a data center construction project. The Construction Project Manager will have overall responsibility for the delivery of assigned projects on budget, on time, and assurance that the project scope and quality meet Company Design Standards and the objectives set for the project.
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They will work with various data sources such as Power BI, Nielsen, and IRI, to analyze the information and present to stakeholders. Assist in the design and development, and further maintain, interactive dashboards and reports using tools like PowerBI, syndicated data (Nielsen/IRI), and other relevant data sources.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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data quality jobs Title: data manager Company: Premier Research in Dallas, TX
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
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