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Expert knowledge and hands-on experience in Hadoop ecosystem components; including HDFS, Yarn, Hive, LLAP, Druid, Impala, Spark, Kafka, HBase, Cloudera Work Bench, etc. Hands on experience with Hadoop administration in Linux and virtual environments.
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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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Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way. Some of the cutting-edge technologies we have recently implemented are Kafka, Spark Streaming, Presto, Airflow, and Kubernetes.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark) Develop, debug a, and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Strong proficiency in Cloud computing, Microsoft Azure - Databricks, Azure IoT, Kafka and Scada systems. Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera) , Cloud (Azure, Amazon, GCP) and messaging protocols - MQTT, MODBUS, AMQP, RPC.
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Hands-on experience with Azure Cloud, including Azure Data Factory and Databricks. Hands-on experience with SQL, PL/SQL, Python and/or Shell Scripting is a must. 4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka) Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Rest API and Serverless API development - Java/Spring Boot/Kafka/hands-on experience with all major AWS services. Current, hands-on experience with Kafka required.
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Advanced proficiency with cloud analytical tools: Snowflake, Redshift, Hadoop, Spark, Kafka, etc. This person is comfortable working with structured and unstructured data and can troubleshoot data loading and processing tools via SQL, Python, shell scripting, AWS, etc, and take on a leadership role in special projects when needed.
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Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. Strong experience with Hadoop, (HDFS), Spark, Kafka NoSQL, Cassandra, HBase, S3 protocol, ObjectStore and with processing large data stores.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on with analyzing various Hadoop log files, compression, encoding, & file formats. Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres.
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Experience working with big data technologies (e.g., Hadoop, Spark, and Hive) as well as ETL tools (e.g., Apache Nifi, Talend, Apache Airflow) and real-time data processing technologies such as Apache Kafka are essential.
$172,000 - $197,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Angular, PySpark, Hadoop, Spark, Hive, Kafka, HBase, Elasticsearch, OpenSearch, Apache, and programming languages such as Java, and Python. Experience in writing spark streaming jobs (producers/consumers) using AWS MSK- Kafka or AWS Kinesis.
$125,000 - $160,000Full-timeExpandApply NowActive JobUpdated Today
hadoop kafka hands on jobs Title: architect Company: Applab Systems Inc
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