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Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, ZooKeeper and Postgres. Hadoop Admin Ops / SRE role supporting Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more.
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. ETL tool like Informatica, SSIS, Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume, Autosys JIL scripting.
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Tasks and Responsibilities: Hadoop administrator provides support and maintenance and its eco-systems including HDFS, Yarn, Hive, LLAP, Druid, Impala, Spark, Kafka, HBase, Cloudera Work Bench, etc.
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Develop streaming and batch processing solutions using Kafka, Apache Spark, and Hadoop ecosystem tools (e.g., HDFS, MapReduce). Advanced degree or relevant certifications (e.g., Certified Kafka Developer, Cloudera Certified Developer for Apache Hadoop) is a plus.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. 3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform.
$154,000 - $278,800 a yearFull-timeExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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Well versed with Spark, Hadoop, Cloud, Python/Scala and Java, Streaming, Kafka. Bachelor's degree in computer science or a related field plus 3 years' experience in data science, data engineering, software engineering, or related domain.
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
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Data Processing - experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS.
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FACTORS TO HELP YOU SHINE ()Strong experience with Ansible Automation and authoring playbooks and roles for installing, maintaining, or upgrading platformsSolid experience using version control software such as Git/Bitbucket including peer reviewing Ansible playbooksHands-on experience administrating Kafka platform (Confluent Kafka, Apache Kafka, Amazon MSK) via Ansible playbooks or other automation.
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Familiarity with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable asset. Experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago
hadoop kafka jobs Title: principal software engineer Company: Panalgo
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