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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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The DarkStar Group is seeking a Senior Software Engineer with a T/SCI + CI Poly clearance to join one of our top projects in Herndon, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc.
$140,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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4+ years Experience with technologies Apache Mesos, Marathon, or Apache Spark. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Extensive experience with Apache Spark and Databricks (or similar data processing frameworks). Design, develop, and implement efficient and scalable data pipelines using Apache Spark on Databricks.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Expertise in ETL (Extract, Transform, Load) tools such as Informatica PowerCenter, IBM DataStage, Talend, Microsoft SSIS (SQL Server Integration Services), or Apache NiFi/Airflow and ability to design and implement complex transformation in Python, Spark, Microsoft SQL, Spark-SQL, JOLT transformation.
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Infrastructure Operations: Minimum 3 to 7 years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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Edge Case Research is expanding our DevOps and Site Reliability Team. We are currently looking for a site reliability engineer that will work collaboratively with software developers, quality engineers, and solutions engineers to deliver tools and infrastructure to support our applications.
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Infrastructure and DevOps: Ubuntu Linux, Kubernetes, Docker, Terraform, AWS & Google Cloud, Sentry, Datadog. Advanced Knowledge : Message Queues, Service Patterns, API optimization, Git strategies, Unit/Feature/Integration Testing, MySQL, Redis, Vue architecture, Docker, and modular development.
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What you’ll need to succeed: Active TS/SCI Clearance with CI poly At least 6 years of experience as a DevSecOps Engineer or similar role, with a focus on integrating security into the software development lifecycle.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. Plus: Experience in Kubernetes, Kubeflow, Docker, and container technologies, as well as infrastructure as code and CI/CD technologies.
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docker linux security clearance infrastructure engineer apache spark jobs Company: Clearancejobs
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