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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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Hadoop administrator provides support and maintenance and its eco-systems including HDFS, Yarn, Hive, LLAP, Druid, Impala, Spark, Kafka, HBase, Cloudera Work Bench, etc. Hadoop administrator using Cloudera, administers Cloudera technology and systems responsible for backup, recovery, architecture, performance tuning, security, auditing, metadata management, optimization, statistics, capacity planning, connectivity, and other data solutions of Hadoop systems.
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Good hands-on scripting experience in a Linux environment. The Hadoop administrator is responsible for the care, maintenance, administration, and reliability of the Hadoop ecosystem.
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The Hadoop administrator is responsible for the care, maintenance, administration, and reliability of the Hadoop. Well versed in installing & managing distributions of Hadoop (Cloudera.
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Hands on experience in Databricks stack. Data Engineering technologies (Ex: Spark, Hadoop, Kafka etc.,) Hands on in Python, SQL. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics.
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As a key member of our data engineering team, you will work with cutting-edge technologies such as Apache Spark, Hadoop, Kafka, and cloud services from AWS and Azure. Design and implement scalable and reliable data pipelines using big data technologies like Apache Spark, Hadoop, and Kafka.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/Client, API GW, etc.
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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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Experience developing and deploying ETL solutions on AWS. Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS) DevOps on an AWS platform. Certified AWS Solutions Architect - Professional (Nice to have.
$60 an hourExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Integrate Python, AWS services (such as S3 and EMR), Redshift, Snowflake, Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, and ETL processes into Spark applications. Advanced - Python, AWS, Redshift, Snowflake,Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, ETL.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads. RSM is looking for an experienced Hands-On Technical Sales Director with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry.
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Minimum of fifteen years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least ten years of experience specifically in financial services.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will also lead technical projects, hands-on development, delivery management, sales and ensuring the successful implementation of data solutions across multiple cloud platforms. Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization.
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Advanced Scala, Python, AWS, Redshift, Snowflake,Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, ETL, Provide technical guidance and mentorship to junior developers on Spark-related projects.
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hadoop kafka hands on jobs Title: architect Company: Enable Data Incorporated
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