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Required Skills : Candidates MUST HAVE the following experience DOCUMENTED on resume: - Senior level Scala and Spark (MUST be actual development using SCALA - not pyspark or similar) - Amazon EMR - Big Data processing - Unit testing experience.
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
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Research engagement with an established portfolio is highly sought after, such as clinical trials, utilization of artificial intelligence or big data, equitable care and regenerative medicine.
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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 Today - UpvoteDownvoteShare Job
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Ideal research interests include Outcomes Research, Big-Data, Information Technology, Predictive Analytics and using Quality Improvement Tools. Ideal research interests include Outcomes Research, Big-Data, Information Technology, Predictive Analytics and using Quality Improvement Tools.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
$66,716 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Experience with leading cloud and data platforms such as AWS, Databricks, Azure, Sagemaker, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Work with other practice leaders to develop transformative ideas that will enable clients to take advantage of emerging transportation trends (automated-connected-electric-shared vehicles, micro-transit, micro-mobility, big data, etc.
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity’s high transactional Provider Data Management platform.
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Big Data architectures such as Hortonworks suite of products: Hadoop, Kafka, Redis, and Object Storage principles. Our mission: to solve big IT problems with a more personal, boutique approach.
Full-timeRemoteExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Requisition Number: 19979 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: - $100,000.00 Security Clearance: TS/SCI Level of Experience: Mid HI This opportunity resides with Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR), a business group within HII's Mission Technologies division.
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Identity and Access Management “IAM” concepts and principles such as federation, delegated access (user managed access “UMA”), single sign on, OAuth, and OpenID. Develops actual working solutions or prototypes based on their own designs and resolves any issues that arise.
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We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs in Jacksonville, WA, Ohio
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