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Experiences in data platform related products development or big data technologies (such as Hadoop, Clickhouse, Flink etc.) You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem.
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Must have Hands-on experience in Hadoop Ecosystem including HDFS, Hive, Yarn, Spark, Streamsets, Map-Reduce, Kafka as well as experience working with NoSQL Platforms. Strong leader with around 12+ years of cross functional and technical experience in IT Industry which includes 5+ years of experience in AWS cloud using Lambda, Step Function, Glue, DMS, S3, Snowflake, RDS PostgreSQL , Python and 10 years of experience in Data Warehousing and BI solutions using Informatica with Oracle and SQL databases.
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Design, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.) We employ state of the art technologies that are part of the AWS, Big data ecosystem, which includes tools used for CI/CD, DevOps, data integration, data modeling, and data analytics.
$113,600 - $181,600 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Expertise and demonstrated experience in Hadoop ecosystem components: HIVE, HDFS, SPARK. Key contributor to development initiatives that require Hadoop technical expertise across numerous components.
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Experience working in the database domain with at least two (2) years of experience managing all operations of Big Data stack preferably Cloudera in a Cloud Environment. Experience with big data tools such as HBASE, Spark, Python, SpliceMachine, MongoDB, NoSQL based decision systems.
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Experience with Hadoop ecosystem components - HDFS, YARN, MapReduce & cluster management tools like Ambari or Cloudera Manager, and related technologies. We have a position for a Hadoop Platform Engineer role in Plano, TX / Jersey City, NJ / New York City, NY / Atlanta, GA / Newark, DE / Charlotte, NC.
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Strong HDFS, YARN and Hadoop ecosystem knowledge, preferably on the Cloudera Distribution but also OSS Distributions. G-Research is seeking a DevOps focused Infrastructure Engineer, with deep experience in HDFS, YARN and the Hadoop ecosystem, to join its growing Big Data Platform Engineering team.
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Handson experience with the Hadoop ecosystem HDFS, MapReduce, HBase, Hive, Scala, Spark, Kafka,Presto. Handson experience with the Hadoop ecosystem (HDFS, MapReduce, HBase, Hive, Scala, Spark, Kafka,Presto.
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Our technology ecosystem spans 600+ applications, monitoring and incident management across 10,000+ servers, multi-cloud – multi-platform event streaming and microservices architecture, and enterprise-grade systems that power a catalog of over 1.4 million products, 330+ distribution centers and a fleet of 14,000 IoT-enabled delivery trucks, and more.
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Experience with the Hadoop ecosystem (e.g. Zookeeper, NameNode, JobTracker) As a Phoenix Cloud Integrator, you'll use highly desirable technologies in multiple domains including Big Data (Hadoop, Spark, Kafka), Cloud Computing (Amazon Web Services, Azure, Google), and automation (Puppet, Ansible.
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Handling different types of databases; large relational storage engines (MySql and AWS RDS) and distributed storage engines (HDFS/Hadoop, NoSQL and Cloud tools such as S3, Redshift, Snowflake) Digital Asset Management (DAM) systems such as OpenText.
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Advantage, if you have experience working in ETL and Hadoop Ecosystem: HBase, Solr, Spark Streaming, Kudu, Spring Boot, Spring Context, Spring Data Rest, General Cloudera experience. Streaming within the Hadoop ecosystem is a plus.
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc. Knowledge of: Knowledge of design patterns and SOLID principles Knowledge of DevOps technologies such as Jenkins, Kubernetes, Spinnaker, Maven etc.
$96,800 - $251,600ExpandUpdated 0 days ago - UpvoteDownvoteShare Job
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The Director of Data Architecture will analyze the current data ecosystem (MySQL, PostgreSQL, Mongo, AWS), evaluate new technology, design and architect a new, modern architecture using best-in-class tools and technologies (Hadoop, Snowflake, Spark, data streaming, etc.
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