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Hands-on technical experience with big data systems including experience in designing and implementing large distributed systems. The MEGDP serves many use cases including regulatory reporting, analytics, and data science.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems. You’ll combine your technical vision, analytical, communication and leadership skills to drive the design, development and implementation of big data systems.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID. Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
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Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.) Fulltime - Director of Data Engineering (SQL & Looker )- Hybrid 2 days a week in Jersey City, NJ. Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy.
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Job Description Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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Extensive knowledge of scripting tools i.e. Excel VBA, and Python, SQL for data manipulation and automation. Dice is the leading career destination for tech experts at every stage of their careers.
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Pulse sequence programming experience and interest and/or experience in artificial intelligence, machine learning or big data analytics are desirable. Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke's, and New York Eye and Ear Infirmary of Mount Sinai.
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PETADATA is currently looking to hire for the position of Lead Big Data Engineer for one of their clients. The Ideal candidate should be able to define the overall strategy and roadmap for Data-driven decision-making and work towards Big Data Technology solutions implementation.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Be familiar with Big Data platforms and Cloud tools data mining, data cleaning, data warehousing and structures and one or more RDBMS systems. -Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models.
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big data jobs Title: hadoop Company: Dice in New York, NY
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