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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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Scale and operationalize privacy and security systems in a big data environment leveraging technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment through automation and infrastructure-as-code.
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Knowledge about Apache Kafka is desirable Skills: databricks, azure, aws, apache kafka, azure ad, hadoop adminstration, Sql Top Skills Details: databricks,azure,aws,apache kafka,azure ad,hadoop adminstration Experience Level: Expert Level About TEKsystems: We're partners in transformation.
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<> Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery <> Experience with workflow management tools such as Jenkins, Airflow. Experience running spark/hadoop workloads using Dataproc, Dataflow, Cloud composer, EMR, HD Insights or similar.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc. 5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Title: Kafka/Hadoop Admin (L3- Support Engineer) Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2.
$83,912 - $128,080 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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3+ years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink) 3+ years experience working with data pipeline open source products (Airflow, Jupyter, Anaconda) 3+ years hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
$55 - $60 an hourExpandUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
Full-timeExpandUpdated 16 days ago - UpvoteDownvoteShare Job
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Hadoop Developer to develop, analyze large scale Big Data/Cloud (AWS) solutions. Build, maintain code to populate HDFS, Hadoop with log events from real time data feeds or data loaded from SQL production systems.
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You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging analytics tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
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5+ years of experience in one of the following or any combination of: ADLS, Python, Hadoop, SQL, Databricks, Oracle Fusion Middleware, Azure DevOps, GitHub, ML Studio, Oracle Cloud Infrastructure.
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hadoop job
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