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Strong understanding of container orchestration (Nomad, Kubernetes) At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka.
$135,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
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Support infrastructure components, data streaming frameworks and databases, such as Kubernetes, Flink, Storm, Spark, Kafka, Cassandra, Elasticsearch, Redis, Postgres, ArangoDB, and many others.
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Technology Stack: Possess deep expertise in key database technologies (MySQL, MariaDB, Galera, PostgreSQL)Possesses strong working knowledge of Ansible, Terraform, Kubernetes, Grafana, Prometheus, ELK, and on-premise data center operations.
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Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery. Knowledge and experience in Kafka, Storm, Druid and Presto. Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Experience with Azure Kubernetes, GitHub, Harness / Drone CI, or Azure DevOPS required.
$137,500 - $206,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
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Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing. Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing.
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Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Skills Required: Requires experience in the following: Angular; Docker; Java; Oracle; React; Microservices; REST; Splunk; Apache Kafka; GIT; Kubernetes; Python; SOAP and REST web services; Cassandra; Linux; NodeJS; SQL; Continuous Integration / Continuous Delivery; Test Driven Development; Cloud Native application design, resiliency principles, and security principles.
$169,229 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.
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Experience with supporting Web applications, Qlik Sense, MongoDB, Apache tomcat, Kafka, Kubernetes, Docker, Git. Investigate, understand, and resolve issues within Exonaut installations and related software, such as Qlik, Tomcat, Keycloak, MongoDB, Kafka and map servers.
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This stack processes very large amounts of data using a variety of open-source technologies such as Kubernetes, Go, Java, Elastic, Kafka, Spring, Postgres, Jenkins, Ansible, and others. This stack processes very large amounts of data using a variety of open-source technologies such as Kubernetes, Go, Java, Elastic, Kafka, Spring, Postgres, Jenkins, Ansible, and others.
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