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Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.) Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.
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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Hands-on experience on major components of the Hadoop ecosystem such as Spark, HDFS, Hive, Sqoop, Kafka, and Streaming is a must. Must have in-depth and strong technical knowledge on Hive, Spark, Kafka, Streaming, SQL, Hadoop platform, and Python.
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Clear understanding of Hadoop Ecosystem & Spark Architecture. Must have experience in Unix Shell Scripting, PL/SQL & Autosys Scheduler. Big Data Developer. Clear understanding of Hadoop Ecosystem & Spark Architecture.
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You have an area of focus where you are a subject matter expert in technologies such as analytics, artificial intelligence, machine learning, security, some facet of big data ecosystem (e.g. Hadoop), or database expertise.
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Experience with Apache Ecosystem, including Spark, Hive, and Hadoop. Experience with Apache Ecosystem, including Spark, Hive, and Hadoop. As a Senior Data Engineer on our Data Science Centre of Excellence, you'll play a pivotal role in architecting robust data pipelines that power strategic decision-making.
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Experienced professional with 10-12 years of experience as ML architect or engineer, lead data scientist/analyst for machine learning in Big Data ecosystem i.e., Hadoop, Spark, HBase, Hive / Impala or any similar distributed computing technology as well as public cloud platform & systems.
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Leverage analytic tools and platforms in support of data evaluation and management activities, e.g. Tableau, Dataiku, Snowflake, Hadoop, Spark, SQL to evaluate data coverage, quality, interoperability, and fit within Pfizer's existing data ecosystem.
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RedHat OpenShift Container Platform(Operators, OpenShift Data Foundation, OpenShift Pipelines, Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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Experience in working on AWS ecosystem as a whole and should have experience in migrating ETL pipelines from Talend / Informatica/Abinitio to Hadoop / Glue / Spark. Hadoop Ecosystem – HDFS, Hive, Hbase, Spark, Hue /Ambari, Impala, Sqoop, Kafka.
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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.
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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 working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) Through ODDA, we deliver connected insights across the entire demand ecosystem.
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2+ years of recent experience and proficiency with Python, R, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc. 2+ years of recent experience and proficiency with Python, R, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc.
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Bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software. Bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.
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