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Leads and manages Agile data engineering teams responsible for implementing enterprise data platform technology assets in accordance with internal roadmap. Collaborate with analytics leaders across the organization to drive Data and Analytics awareness throughout the enterprise, to drive Tenet to a data driven enterprise.
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Demonstrated experience in reviewing enterprise and data architecture artifacts, deliverables, and processes for quality standards. Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices.
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Managing and executing large finance, enterprise and/or data architecture transformation programs; 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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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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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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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. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 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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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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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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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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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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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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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 visualization (e.g. Tableau, Looker, MicroStrategy) Data mining/programming tools (e.g. SAS, SQL, R, Python) Remote Lead Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales.
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data quality jobs Title: enterprise data architect Company: Cognizant in Dallas, TX
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