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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Big Data Confluent KAFKA Administrator Tech Lead. Expert on Kafka Big Data solutions along with sound understanding of Kafka architecture. Minimum 4 years of experience in setting up the environment for solutions that collects and process data using Kafka Spark, Scala.
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Implemented and supported any enterprise product such as any well-known ERP products, Data warehouse, Middleware etc. Perform Kafka Cluster build, MRC, including Design, Infrastructure planning, High Availability and Disaster Recovery.
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Good knowledge and hands on experience in development of Big Data platform & Cloudera Infrastructure (minimum 3-4 yrs.) Strong Hands on experience in design & development of Big Data, Spark, Python, Hive, SQL, ETL Tools.
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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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Required Skills: Bachelor's degree Talend Data Integration and Big data Spark Ab Initio GDE and Co? Security Master Central(SMC) and securities reference data are global reference data management application responsible for sourcing securities/Events and pricing data from market vendors and internal Firm sources and providing it to downstream clients after applying client specific rules.
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Job Summary The Database Security Engineer is responsible for implementing and maintaining security systems that provide detection, prevention, containment and deterrence mechanisms to protect the integrity of relational database systems, AWS cloud native databases, NoSQL and big data platforms, and the data they contain.
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Act a subject matter expert on one or more areas of database design, big data, cloud deployment, microservices, integration and has advanced knowledge of applications programming and can ensure application design adheres to the overall architecture blueprint for Services.
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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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Strong Experience in Big data technologies like Apache Spark HDFS Hive Hbase. Job Title: Big DATA Developer with Python. Develop working knowledge of Citi s information systems procedures standards client server application development network operations database administration systems administration data center operations and PC based applications.
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Lead the testing framework design, development, and automation for our Big data infrastructure leveraging the latest technologies from Microsoft Azure, both on-premise and in the cloud. Lead data governance and data profiling efforts to ensure data quality and proper metadata documentation for data lineage.
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Familiarity with big data concepts, data integration platforms such as Snowflake and APIs. You will manage programs that define data driven solutions, drive change, and business re-engineering though best in class, end to end solutions.
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Ability to critically analyze data and processes to identify issues, root causes and corrective actions. We are seeking a Technology Solutions Manager. Note : No third parties, Only w2 or IC( Independent crop.
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Support technology selection, building, testing, deployment, and documentation of the data platforms related to big data. Maintain an up-to-date knowledge on data security requirements.
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Proficient in programming languages commonly used in data engineering such as Scala, Spark Python and Java. Experience of building data processing pipelines for use in production hands off batch systems including either or preferably both traditional ETL pipelines andor analytics pipelines.
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big data jobs in Tampa, WA, Ohio
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