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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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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Job Segment: Book Publishing, Business Analyst, Data Analyst, SAP, Publishing, Technology, Data, Finance. Experience in book publishing is a big plus. Manage data extraction, create reporting and data maintenance in SAP as needed.
$70,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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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. Proficiency in big data technologies, cloud computing, machine learning, and AI.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Proficient with SAP, Microsoft Teams, Power BI, and M365 Strong understanding of various SAP ISU modules, device management, Billing and Invoicing, FICA, CCS, Master Data, EDM, EMMA, BPEM, OLE and Winshuttle Scripting.
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E.g.: Cisco CCIE Enterprise, Data Center, Security, etc., Palo Alto PCNSE, Fortinet FCX, FCP. This is a hybrid role with remote work from home as well as local travel to customer sites located within the tri-state area (PA, NJ, DE) as needed.
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And if you'd instead not work from home, we'll cover the cost of a coworking or office space if you're fully remote. As our Community Engagement and Social Media Manager, you'll blend technical expertise with creative flair, crafting short-form copy that transforms complex data concepts into digestible, engaging content.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The Data and GIS Analyst will also serve as LPC's Open Data Coordinator, managing LPC's open data and coordinating with other agencies. The Data and GIS Analyst position is located within the Research Department and works cross-department and agency-wide, including the Preservation and Enforcement Departments, External Affairs and Executive staff.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Programming experience on Java, Hadoop / Big Data, Teradata, Hadoop and Netezza, Microstrategy , Tableau experience a plus. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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big data remote jobs Title: data Company: Django Rest Framework in New York, NY
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