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Working knowledge of analytical and data visualization technology such as Power BI Working knowledge of cloud-based data architectures using the Azure stack, Databricks, and/or Snowflake Position may require the need to travel to other branch or meeting locations.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Accurate data is the top priority for our Geomatics team. You are familiar with boundary survey principles and Record Maps, Surveys and ALTAs∯*∯ You are self-motivated and have the ability to work independently and/or supervise a field crew to collect data utilizing GPS/GNSS and conventional survey techniques as well as perform data reduction and drafting of the final survey product.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC, Power BI, Power Query, Amazon AWS (Redshift and Related Toolsets) and/or Microsoft Azure.
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Monitor alarms and video cameras, manage physical security access control standards and permissions for all building badge and key access permissions for the Corporate Campus and remotely manage the Richfield Data Center, Bloomington Data Center, Bloomington Distribution Center, and Best Buy Health Sites.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Some preferred areas include vendor risk management, cybersecurity response and resilience, cloud security, data governance and security, endpoint and server technologies, intrusion detection and prevention systems, identify access management and access control, and threat vulnerability management.
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Knowledge of work with the US Government in the area of CFIUS in highly complex cases, where data protection is required. Install structure and excellence over Enterprise Governance & Cybersecurity Risk Assessments, Data Privacy, Internal Audit, and strategic client projects.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing.
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Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc. Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
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And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good. Strong and practical knowledge of industry adopted frameworks and methodologies (MITRE ATT&CK, CIS, NIST, ISO, PCI-DSS, etc.
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The coordinator requires a strong understanding of ecommerce website management (Shopify experience required) and product data feed knowledge. Proficiency in file management (photos, videos) and data organization using tools such as AirTable and Google Sheets.
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Broad understanding of data engineering methodologies and tools, including data warehousing, DevOps/DataOps, data ingestion, ELT/ETL, and data visualization tools. Capture and document data lineage, metadata, and data dictionaries to ensure comprehensive data governance.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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big data jobs Company: Deloitte in Golden Valley, MN
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