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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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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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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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Experience developing data models in Snowflake that are used for scalable Tableau dashboards and include user entitlements a big plus. Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake.
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Lead data science projects from inception to completion on topics such as consumption and revenue forecasts, digital advertising forecasts, global trends analysis, business performance trends, and more.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Trusts & Estates Planning : Drafting complex estate planning documents (trusts, wills, premarital agreements), handling probate and trust administration, and advising on charitable planning and business succession.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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What you’ll do: Build cloud-based data pipeline frameworks and operations to power business intelligence. How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Mulesoft Integration: Hands-on experience with Mulesoft’s Anypoint Platform is a big plus. Mulesoft Integration: Utilize Mulesoft’s Anypoint Platform to design and implement integration solutions that connect various applications and data sources.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) 4+ years of experience in data architecture, data management, data engineering, data science or data analytics.
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Define the strategy for performance and competitive reporting solutions (business logic, data visualization, data feeds, and taxonomy). Through its global agencies Mindshare, Wavemaker, EssenceMediacom, and mSix&Partners, and cross-channel performance (GroupM Nexus), data (Choreograph), entertainment (GroupM Motion Entertainment) and investment solutions, GroupM leverages a unique combination of global scale, expertise, and innovation to generate sustained value for clients wherever they do business.
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big data jobs Title: business analyst in New York
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