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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Go, Java, Python, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
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Advanced knowledge of data modeling concepts and integrated application development methodology using tools like Apache Spark, Hadoop, Hive, and Apache Kafka. Advanced knowledge of data modeling concepts and integrated application development methodology using tools like Apache Spark, Hadoop, Hive, and Apache Kafka.
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco. Fully remote working environment - we've been working remotely since 2004.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years of experience in application development including Python, SQL, Scala, or Java.
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You have expertise in NoSQL, Distributed Stream processing and Message Broker technologies specifically Cloudera Hadoop ecosystem (Yarn, Spark, Hive, Impala, Airflow) and Kafka. You have expertise in Cloudera Hadoop, Scala and NoSQL (REQUIRED.
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Working knowledge of Mobile Packet Core, Radio, VAS, OSS/BSS. Design and implement telco-grade open source multi-tenant private clouds and micro clouds. Canonical enables operators and communications service providers to embrace this new world, with a focus on platforms such as Ubuntu, OpenStack, and Kubernetes, and reusable, high quality automation for operations at scale.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 7+ years of experience in application development including Python, SQL, Scala, or Java.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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REQUIREMENTS: Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and two (2) years of experience developing software for data platforms; administering big data platforms using Hadoop, Hadoop File System (HDFS), and Hive; of which one (1) year of experience includes using Spark, Kafka, and MapReduce.
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