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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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Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. TS/SCI cleared Application Security Engineer.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Leidos National Security Sector has an exciting opening for you as our next TS/SCI cleared Application Security Engineer supporting DINMEC under our 10-year DOMEX Technology Platform (DTP) contract.
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Experience with Configuration Management and IaC tools such as Salt or Ansible. We are seeking a talented Mid-Level Application Security Engineer to join our dynamic team and contribute to the security posture of our software development lifecycle.
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Application Security Engineer - TS/SCI. Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence. Collaborate with development teams to address and remediate dynamic security findings.
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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc.
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Experience with scripting languages, CI/CD tools, Elasticsearch, or Gitlab. Must possess TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph. Bachelor’s degree in computer science, Information Security, or related field and 3+ years of prior experience in application security with a focus on SAST, SCA, DAST or Master’s with 1-2 years of prior experience in application security with a focus on SAST, SCA, DAST.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
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We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You demonstrate clear devotion to the DevOps and Infrastructure as Code (IaC) mindset and meet the following qualifications: Bachelor's degree in computer science, Information Security, or related field and 3+ years of prior experience in application security with a focus on SAST, SCA, DAST or Master's with 1–2 years of prior experience in application security with a focus on SAST, SCA, DAST.
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We have an outstanding career opportunity for an Application Security Engineer to join a leading Company located in the Bethesda, MD surrounding area. Candidate must possess an active Top Secret/SCI Security Clearance.
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Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Nutanix, Palo Alto Networks, Facebook, Google, Slack, Akamai, Cloudera, AsterData and others.
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Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel.
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Familiarity with Linux script-based development environments and tools (Perl, Python, Ruby, PHP, etc. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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