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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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As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers.
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SEO and SEM: Optimize website content and implement search engine optimization (SEO) strategies to improve visibility and rankings in search engine results pages (SERPs). Manage search engine marketing (SEM) campaigns to drive traffic and conversions.
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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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ResponsibilitiesWe are in search of a skilled Data Scientist to join our Technology Team. The role involves developing Large Language Model (LLM) applications, including specialized agents and tools, to assist our employees and clients in answering questions and streamlining daily operations.
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Experience - Minimum of ten (10) years of data experience in any combination of the following: Epic Cogito (Radar, Reporting Workbench, SlicerDicer, Epic Analytics Catalog, and their data warehouses: Clarity, Caboodle, Chronicles) Microsoft Azure cloud/Fabric, Synapse, Purview, Power Products (Power BI, Power Apps, Power Automate, Power Pages.
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The Principal Enterprise Data Architect should have an in-depth understanding of healthcare data and analytics, data warehousing, Business Intelligence, Epic Cogito, cloud computing, how to leverage data science solutions and AI, and electronic health records platforms.
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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MUST HAVE: We need a Lead Developer with deep experience in SOLR, AWS, ZooKeeper, Java, Springboot, Search engine implementation and improvement, search analytics. Lead Java Developer - REMOTE WORK - 52749.
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WSP is currently initiating a search for a Civil Transportation Engineer for our Dallas, TX office. Collect, compile, and analyze data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, geotechnical data, and other matrices for project development, design, and construction.
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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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Certified Tumor Registrar (CTR) designation OR Oncology Data Specialist designation (ODS-C) REQUIRED. As a Certified Cancer Registrar you will be responsible for case finding and abstraction of cancer data for HCA hospitals.
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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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Temporary Data Center Manager (Fully Remote Position) page is loaded. Temporary Data Center Manager (Fully Remote Position) The Temporary Data Center Manager is responsible for managing a variety of administrative activities essential to the operation of the Kilts Centers data center.
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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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