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Experience with big data technologies such as Apache Kafka, Spark, Hadoop, or similar systems. Our primary tech stack consists of Golang, Kubernetes, Kafka, Elasticsearch, and GraphQL, but we also use tools like S3, ScyllaDB, Redis, SQS and many other AWS services.
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Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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Demonstrated experience working with big data processing and NoSQL databases such as MongoDB, ElasticSearch, MapReduce, and HBase. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise.
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Help us deploy and scale the next generation of cloud security utilizing big data and analytics. We are looking for a Principal Engineer to join the team that is building our latest cloud security product - Data Loss Prevention (DLP.
$170,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will deal with mostly Java for backend and React/JavaScript for front-end, various persistence technologies like DynamoDB, ElasticSearch, and multitude of native AWS offerings to analyze big data (e.g. SageMaker, EMR.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will have flexibility to drive changes to our front-end, backend and science infrastructure, and be able to work with different skillset including big data and engineering to build new features.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DynaConnections is a rapidly growing SaaS company founded in 2001, based in Austin, TX. We provide a mission-critical SaaS application that enables organizations to utilize their big data with the best and highest use.
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Desired: · Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High-performancecomputing · Demonstrated ability to work independently on complex tasks, and show a willingness to educate and train more junior technicalresources.
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Knowledge in big data and streaming data architecture (Lambda/Kappa), Understand open-source databases like MySQL, PostgreSQL, etc., and be familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch (Knowledge with NewSQL database like TIDB, Cockroach or YugabyteDB will be a plus.
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Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube knowledge in Terraform/Ansible will be big plus. Use deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes.
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In-depth knowledge of CS data structures and algorithms. Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication.
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Demonstrated experience designing, developing, querying, and maintaining ElasticSearch and related technologies. Demonstrated experience working with geo-locational data at both the backend and the application tier.
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Premier Medical, Dental and Vision Insurance with no waiting period. Show good knowledge of two of the following languages: C, PHP, Perl, Ruby, JavaScript, shell script, etc. 4+ years of experience with AWS, GCP, Azure, or another cloud service.
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Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk, Elastic Stack, and Prometheus. Experience with noSQL technologies such as Elasticsearch and MongoDB.
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To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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