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The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. Hands on experience of ETL tools like Informatica and SSIS is preferredExperience with Complex Data Parsing (Big Data Parser) a must.
$158,000Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Ability to code with scripting languages such as Python, Bash, groovy etc.,Experience with Container Orchestration platforms such as Docker, Kubernetes etc.,Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. with dependency mapping- Data analysis and data modeling- Strong experience in Python, SQL, shell scripting- Experience interacting with APIs, SFTP, Cloud Storage locations (eg.
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Focus on data modeling, data quality, data integration, and data governance to optimize data storage, retrieval, and analysis.
$213,290.52 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. You understand the data science lifecycle and are experienced in development and implementation of advanced statistical models and machine learning algorithms.
$238,560Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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NEXTGEN ANALYTICSKey member of development team for RSLI’s nextgen data architecture, which incorporates a mix of cloud and on-prem systems along with big data and rdbms technologies.
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Consulting and/or CxO/CIO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Block Chain, Big Data, CLOUD, etc.) Consulting and/or CxO/CIO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Block Chain, Big Data, CLOUD, etc.
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Requirements:Proven experience with Splunk Enterprise and Splunk Enterprise Security, Splunk UBA or Splunk SOAR in large scale and highly distributed architecturesDemonstrated ability in technical consulting or big data analytics.
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago
big data jobs in Philadelphia, Gilford, New Hampshire
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