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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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Prior experience in publicly-traded, manufacturing company and Big 4 or global public accounting firm is highly preferred. Brands in the Apogee portfolio include Alumicor, EFCO, Harmon, Linetec, Tru Vue, Tubelite, and Viracon.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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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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Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
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Experience with machine learning, artificial intelligence and data science concepts. The Senior Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Streaming & Data pubilishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Skills: Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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Collaborate with the business and other technology experts to develop defense in depth security reference architectures, security architecture standards and frameworks spanning all layers of security from host, server, and network to application and data security.
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Proficiency in big data technologies, cloud computing, machine learning, and AI. Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
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7+ years of experience building machine learning and data science applications. The ideal candidate will have healthcare data/AI experience and background in genomics and real-world evidence data studies.
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The ideal candidate will have healthcare data/AI experience and a background in genomics and real-world evidence data studies. Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses.
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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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Open Source Committer experience (Apache Spark or related Big Data open source technologies) The Data Engineer will design and build highly available, scalable, resilient and fault tolerant distributed real-time data streaming system.
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Experience or interest in data collection, data mapping, processing, cleaning, validation, and documentation Passion for learning (new problem domains, algorithms, tools etc). (e.g., data quality, metadata management, data security, master data management etc.
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big data jobs Title: machine learning engineer in Minneapolis, WY, Ohio
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