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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Design and develop backend services and APIs using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka. Strong proficiency in backend development using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
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Should have hands on expertise in SQL (ability to write complex Sql's, Joins etc) and good data analysis skills and ability to work on multiple databases like Oracle, Sybase, Hadoop, Sql Server.
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Open-source frameworks and tools (Apache Kafka, Hashicorp Consul, Docker, Kubernetes, Angular + Node.js, OpenStack, etc) Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Create information solutions covering data security, data privacy, metadata management, multi-tenancy and mixed workload management across Hadoop and NoSQL platforms, spanning on-premise and Cloud based deployments.
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Hadoop platforms & distributions: Cloudera, Hortonworks, MapR, EMR. Design and implement scalable data architectures leveraging Hadoop, NoSQL and emerging technologies, covering on-premise and cloud-based deployment patterns.
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Experience maintaining real time data infrastructure such as Kinesis or Kafka. Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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AWS, Python, DBT, Snowflake, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. As the Senior Data Engineer, you will build their AWS-based infrastructure and architecture using Python, Docker, Terraform, Kafka, Airflow and SQL.
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4-5 years experience in an analytical role in a digital media environment 4-5 years’ experience with SQL framework and query scripting (Google Cloud Platform, MySQL, PostgreSQL, Hive/Hadoop experience) Experience with ad serving solutions such as DFP, Atlas, etc.
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Experience with Big Data platforms, tools, and technologies developed over the past 3 years, such as PySpark, Hive, Databricks, and Kafka. Build and manage a DevSecOps process to connect CI/CD pipelines with Jenkins, Gitlab, Nexus Repo, and Checkmarx.
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Ensure our services use OpenShift/Kubernetes, Oracle database, Apache Kafka, Google BigQuery effectively. Ensure our services use OpenShift/Kubernetes, Oracle database, Apache Kafka, Google BigQuery effectively.
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Knowledge of file storage in S3, data validation with CLOB, BLOB, and messaging system Kafka, JMS preferred. My name is Kulsahib, a Recruitment Consultant @ Sumeru Inc. We have an urgent opening for a Lead QA Automation Engineer with one of our Financial Clients.
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Java 8 and above, Microservices, Azure Cloud, Spring Boot, Kafka, REST APIs, Hibernate, JPA, Solr, Gradle, Shell Script, Groovy, Splunk, New Relic, Log4j, Git, Jenkins. Implement Flink and Kafka streaming modules in Java to streamline the batch process.
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hadoop kafka jobs Company: Diverse Lynx in Jersey City, NJ
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