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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Advanced analytics development experience with R, Python a plus.
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Development experience in Hadoop ecosystem Pig, Hive, Spark, Scala, Kafka. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
$107,000 - $183,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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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. 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.
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3+ years hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Stores and processes large data sets using big data and Cloud technologies Hadoop, Snowflake, and Amazon Web Services (AWS). DE performing data analysis, profiling, mining, extraction, and cleansing of large data warehouses using DB2, Snowflake, AWS, Hadoop, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and right data structures using Qlik Sense and Tableau.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hadoop Admin Ops / SRE role supporting Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). 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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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus. Workspace Services: Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Plus, they should know about deploying Kafka MRC and using monitoring tools like Logic Monitor and Splunk. Pilot Kafka data replication between AWS and On-Prem. Work in the DevOps team, to build new shared infrastructure services for on premises failover environment: Kubernetes, Vault, S3, Kafka, Databases.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The Hadoop Admin / SRE role will be supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more.
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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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