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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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The Sr. Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company's data platform environment.
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Data Strategy, Data Governance, Data Architecture, Data Integration, Data Quality, Data Cataloging, Data Security, Data Operations. Performance Tuning of Big data Hadoop Platforms ( Cloudera , Horton work.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Create data parity and quality checks using AWS Dev Portal services such as Glue, Athena, and S3. Knowledge of artificial intelligence, data science methods, and big data technologies.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Deep expertise in the following SAP business processes and data: MRP, production planning, production execution, production order staging, quality management, integration to MES systems, production and material master data.
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Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus. Data Quality: Monitor and improve data quality, implementing best practices for data governance and security.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. About Trident: Trident Consulting is an award-winning IT/engineering staffing company founded in 2005 and headquartered in San Ramon, CA. We specialize in placing high-quality vetted technology and engineering professionals in contract and full-time roles.
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Experience working with large data sets using big data solutions such as Hadoop, Spark etc. " Collaborate with other development teams to manage interdependency, set up test cases, debug and maintain data quality.
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Their large multi-terabyte data warehouse environment includes Informatica Data Quality (IDQ), Power Exchange, Big Data Management (BDM), Enterprise Data Catalog, Axon, PowerDesigner, and more.
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