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Java - 4, Big data Architect - 3, Spark - 4, ETL - 4. Preferred GCP Data services Experience as requested below, if not should have, strong Hadoop, Java Spark experience or similar data services in AWS.
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2+ years of Apache Spark and/or Azure Databricks , Azure Data Factory. Develops scalable and re-usable frameworks for data set ingestion, including event based / stream processing using Azure Data Factory.
$70 - $72 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data – Spark/Hive/Hbase. Hands-on experience with GCP, AWS, Hadoop Ecosystem, Spark, Exposure to ML serving and Accelerators such as OpenVino, ONNX is a plus. The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Engineer with 3-4 years of hands-on Spark/Scala and Hive experience. Experience with Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn. Big Data Engineer Phoenix, AZ (Hybrid) Only W2.
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Experience with: Tableau, Business Objects, Salesforce, Google Analytics, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka. Develop and maintain the roadmap for a key pillar of the CDO Organization data roadmap; scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. - Proven experience as a BI Architect or similar role, with a strong background in data analysis, data modeling, data integration, and data visualization.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Required Skills : Big Data Engineer with 3-4 years of hands-on Spark/Scala and Hive experience. Job Title: Big Data Engineer. Experience with Big Data querying tools such Hive.
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1+ years of Apache Spark and/or Azure Databricks, Azure Data Factory. Develop scalable and re-usable frameworks for data set ingestion, including event based / stream processing using Azure Data Factory.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience working on any Hadoop distribution , such as Mapr , Cloudera, Hortonworks and have at least coded in Hive, Pig, Java M/R, Spark for 2 years or more, will be an added advantage. · Solid understanding of data structures, Algorithms & Design Patters will be an added advantage.
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Implement best practices for end-to-end data pipelines (source systems to target data repositories) ensuring the quality and consistency of data is always maintained. Implement and debug Infrastructure as Code, including associated storage and network resources, using technologies such as Terraform, Azure DevOps, and/or GitHub Actions.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Weiteres zum (technischen) Umfeld: Zookeeper, Elasticsearch (Logstash, Kibana, Beats und X-Pack), MapReduce, NiFi, Zeppelin, Hortonworks Data Platform, Falcon, Atlas, Sqoop, Flume, Kafka, YARN, Pig, Hive, HBase, Accumulo, Phoenix, Storm, Flink, Ambari, Ranger, Knox, Oozie.
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Experience with big data technologies like Hadoop, Spark, or Kafka. The Big Data Developer will be responsible for developing and maintaining large-scale data processing systems, designing and implementing data pipelines, and optimizing data storage and retrieval processes.
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Experience in distributed data processing and analyzing using Cassandra, Elastic search, Spark. Experience in data processing using Spark. Experience in architecting large scale distributed data systems considering scalability, reliability, security, performance, and flexibility.
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Proven experience with Apache Spark, Hive, and Hadoop. Job title: Data Engineer/Data Architect. Experience with Jenkins for automating data pipeline processes. Hands-on experience with GCP services, including BigQuery, BigTable, Cloud Composer, Dataflow, Google Cloud Storage, and Identity and Access Management (IAM.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.
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data spark jobs in Phoenix, AZ
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