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Job Title Big data Administrator Relevant Experience (in Yrs) Min 3-5 yrs Must Have Technical/Functional Skills " Proficiency in the Cloudera suite, including Kafka, HDFS, HBASE, KUDU, Zookeeper, HIVE, Impala, NIFI, SPARK, FLINK, Oozie, Yarn, Atlas, Ranger, RangerKMS, and KTS. " Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Were looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company.
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Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
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Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions. 3+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
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Norfolk Southern Corporation is currently seeking a Senior Big Data Engineer with an affinity for working with others to create successful solutions. Senior Big Data Engineer.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) Were looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Divisions (OHD) big data and analytics platform.
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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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We’re strongly focused on supporting the high scale use cases of Oracle Cloud Infrastructure (OCI). This enables us to provide measurement & alerting on key hardware quality KPI trends, as well as using machine learning to predict hardware failures before they happen and improve the OCI service offerings and customer experience.
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Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. Knowledge & experience of containerization technologies such as Docker/Kubernetes. Unused balance will carry over each year up to a maximum cap of 112 hours.
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Proven high level of expertise in any or all of the programming languages Python, Java, Scala, SQL and related technology stacks. Experience with cloud computing fundamentals and building applications using cloud managed services.
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Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Voluntary benefits including auto, homeowner and pet insurance. We put our people first with flexible medical, life insurance and retirement options. The Data Engineer will get to work with data at scale.
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big job Title: senior developer Company: Geico
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