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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster setup, security, performance tuning, and monitoring.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. You will need 5 years frontend user experience, javascript automating workflows inside appian aws unix linux java python node js angular 2.0 or react js and middleware technologies.
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It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big. Keywords: customer service representative, customer service, CSR, UnitedHealth Group, call center, Optum, health care, office, phone support, billing, work at home, work from home, WAH, WFH, remote, telecommute, hiring immediately, #rpo.
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Proficiency in using tools and software, such as Pandas, Caret, Power BI, Tableau, Python, R, MySQL, SPSS, Apache Hadoop, Salesforce and other analytics and CRM platforms. Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
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5+ years of experience with Hadoop (Cloudera) or Cloud Technologies Expert level building pipelines using Apache Spark, python Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms.
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Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform. Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE. Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform.
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Analytics Services Engineering team manages a significant distributed Cloudera Hadoop platform supporting Hadoop/YARN/HDFS, Spark, and Trino among other technologies with a focus on analytics use cases at petabyte scale.
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Experience on Big Data technologies like Hadoop, Spark, any cloud platform like GCP, Azure, AWS, Snowflake. Experience with Google Cloud Platform (GCP) using tools like BigQuery, Cloud Composer, Dataproc and Dataflow.
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Experience interacting with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL), data manipulation language (i.e. SQL), and/or data visualization tools (i.e. Tableau, Power BI.
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Big Data Technologies (knowledge) - Hadoop / Spark / Kafka / ElasticSearch / Splunk / Apache (Hive / Storm) BI Visualizations - Excellent Data Visualization / Presentation / Communication Skills.
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5+ years of experience with Hadoop (Cloudera) or Cloud Technologies Expert level building pipelines using Apache Beam or Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms.
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Lead the customer experience and user experience research testing team as the subject matter expert owning the discipline, providing recommendations and guidance on the ideal CX analytics approach. Design and execute a comprehensive CX and UX research testing statistical analysis strategy.
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You will be working with a large team that includes onshore and offshore developers and analysts using best-in-class technologies including Teradata, Informatica and Hadoop. Hands-on experience with Hadoop, MapReduce, Hive, Pig, Sqoop, SPARK, Kafka and HBASE (Preferred.
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hadoop job Title: bi analyst in Dallas, TX
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Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
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