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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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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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Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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Write spark jobs efficiently with algorithms used for big data processing. Experience with big data sets minimum Terabyte scale, they're in the Petabyte range. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. Deep understanding and proven experience in Databricks, Azure Data Factory, Synapse.
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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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Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
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In the role of Manager, Data Analytics, you will predominately use a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data which is ETL’d from our ERP, CRM, and various internal and external data sources.
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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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On the Data Science team, we’re looking for someone who is comfortable working on a variety of ad auction and placement optimization problems, using experimentation to improve our ads systems, and helping to lead our team in balancing monetization and quality of experience considerations across our streaming service.
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In Depth knowledge of at least one ETL tool: Ex. NiFi, Kafka, Talend, Informatica PowerCenter, SSIS (Microsoft SQL Server Integrations Services), DataStage, Alteryx, AWS Glue, Oracle Data Integrator (ODI), Pentaho Data Integration (PDI), Data Factory.
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Elevate your career to new heights as a Senior U.S Tax Senior Manager at our client's Big 4 prestigious accountancy firm in the Cayman Islands! Certification as a U.S. Certified Public Accountant (CPA) or IRS Enrolled Agent (required.
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What you’ll do: Perform data entry into Artist Release database. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
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big data jobs Company: American Express in New York, NY
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