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Installing, configuring, maintaining, and troubleshooting Docker, Kubernetes, Microservices Architecture, Solr, OpenSearch, Hadoop, Spark, Databricks, Airflow, NiFi. Experience: AWS, Azure, Google Cloud, IBM Cloud or Oracle Cloud.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask.
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Experience delivering and maintaining relational databases such as PostgreSQL or MySQL, or document databases such as Elasticsearch or Solr, to include managed databases such as AWS Relational Database Service (RDS) or OpenSearch.
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Working knowledge of Docker, Kubernetes, and cloud environments (GCP, AWS, etc.) Experience with Lucene/SOLR is a plus. Working knowledge of Docker, Kubernetes, and cloud environments (GCP, AWS, etc.
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Working experience with Public Cloud Platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) or Micrsosoft Azure. Experience with integrations with Search platforms like Solr, Lucidworks or Algolia.
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Experience working with exception handling, caching (Apache Ignite, Solr, Coherence or others) and Pub/sub (Kafka, Tibco EMS or others) Experience working with AWS cloud technologies such as EC2, ELB, VPC, S3, RDS, Dynamo DB, SQS, SNS, Cloud Formation, Route53, CloudWatch, CloudTrail, IAM and Auto Scaling will be a plus.
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Troubleshooting the applications and services contained within the portfolio to include but not limited to: Python, SQL, SOLR, SQL, Java, Amazon Web Services (AWS), and Angular Technologies.
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Installation and configuration of Pivotol (VMware) GemFire, Apache Solr and Zookeeper, Redis Enterprise (from RedisLabs, Inc.) and Elasticsearch (in AWS and on-premises) Skills: Pivotal, VMware, GemFire, Apache Solr, Redis Enterprise, Elasticsearch.
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Net. AWS solution architect certification Azure solutions architect associate certification Experience with Databricks Experience with DMS What’s in it for You When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
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Leverage expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC, while assisting junior engineers and broadening your knowledge base. Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch.
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Familiarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Experience with Docker, CI/CD pipelines, AWS, and microservices architecture.
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Experience with products such as Pivotal (VMware) GemFire, Apache Solr, Redis Enterprise, and Elasticsearch. Products used and supported in this effort include, but are not limited to, Pivotal (VMware) GemFire, Apache Solr, Redis Enterprise, and Elasticsearch.
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Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS. Using tools such as Apache Tomcat, Hadoop, SOLR, JDBC, ANT, Active Directory, LDAP, Regex, SQL, or JSON.
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Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC. Hands on experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems.
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The applications and systems involve a variety of technologies including Python, PHP, SOLR and Elasticsearch search platforms, and DynamoDB databases. Proficiency with code versioning tools, such as Git. Experience working in an Agile environmentExperience with Cloud architectures and services, AWS ideallyUnderstanding of digital content publishing workflowsExperience in Node.js, GolangWhat will you be doing in this role.
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