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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. In order to meet the demands of our high growth business, we are looking for talented Data Architect to provide insights and solutions to our clients.
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As the Sensor Scientist, you will support, troubleshoot, and diagnose issues on the factory floor relating to our custom electrochemical sensors, using tools ranging from big data, encompassing Critical to Quality process parameters and field quality feedback.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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Big Data Technologies Connoisseur: Experience with big data technologies and data pipeline orchestration tools. You're not just experienced; you're a trailblazer in navigating and harnessing the complexities of big data.
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Experience with Azure, Snowflake, Azure Data Factory, and DBT is a plus. Would like someone with healthcare background preferably in provider data management. Azure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Implementing data governance policies to ensure data integrity and compliance. LifeSource is hiring aDirector of Information Services and Data Management to oversee all aspects of systems, technology, and data governance within the organization.
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Demonstrated expertise in data security practices, and technologies, ensuring the protection of sensitive information, compliance with regulations, and mitigation of cyber threats and vulnerabilities.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Position Overview:As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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If you believe in big goals, consider joining our team to help solve reliability challenges for the world's largest semiconductor, printed circuit board, and precision assembly manufacturers. At Nordson Electronics Solutions we have big goals, an innovative spirit, and a vision to become the preferred partner to electronics manufacturers worldwide.
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The Director, Analytics will spearhead the strategic direction of our data, analytics, and healthcare economics initiatives, leveraging data to optimize patient outcomes in a value-based care environment and drive business growth.
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We are looking for Data Scientist - Remote / Telecommute for our client in Minneapolis, MN. Job Title: Data Scientist - Remote / Telecommute. At least 5 years of experience in software development and data engineering, with a proven track record in data warehouse management.
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Role: Sr Data Architect. Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Experience with enterprise risk management approaches and objectives (e.g. risk management framework, risk appetite, material risk identification, risk measurement, policy development, regulatory capital, data governance, committee governance.
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Works alongside the Principal Data Engineer to define and implement best practices, standards, and processes for development, analysis, testing, and tuning of big data solutions. Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques.
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big data jobs Title: big data architect in Minneapolis, MN
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