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DevSecOps: Jenkins, Docker, Kubernetes (Rancher), Git, GitOps, GitLab/GitHub, CI/CD, Conductor, Kafka/Zookeeper, Consul, CMDB. DevSecOps: Jenkins, Docker, Kubernetes (Rancher), Git, GitOps, GitLab/GitHub, CI/CD, Conductor, Kafka/Zookeeper, Consul, CMDB.
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Experience with Kafka, NiFi, MuleSoft, Boomi or other integration technologies. Web development experience with React, Vue.js, Angular, or other technologies. Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI.
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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm. Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm.
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Experience with building Cloudera cluster, setting up Nifi, Solr, HBase, Kafka. Implement and support streaming technologies such as Kafka, Spark & Kudu. Nifi to kafka /Hbase /solr integration.
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Experience working with data streaming technologies like Apache Kafka or Amazon Kinesis. The ideal candidate will have a strong background in data engineering and be proficient in using the ELK (elastic, kibana, logstash) stack and Databricks for data processing and analytics.
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Experience with building and managing data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or FlinkExperience in data management technologies including ETL processing, data governance, and data storage.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Experience with Java Spring Boot, Java, API experience, Kubernetes, GitHub, Kafka, Rancher, AFT, microservices, working knowledge of EDI (X12) data transfer formats. Ability to build real-time streaming data pipelines using Kafka, Kubernetes, and/or APIs for multiple integrations.
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5+ years design, implementation & deployment experience of advanced Containerised solutions, analytics solutions preferably using Spark, Kafka, Hive, Presto. o Experience with Big Data such as Amazon Athena, Amazon Redshift, BigQuery, Mapr and/or other open source technologies such as Hive, Spark & Presto.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 11, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Tools: Maven, Node, Git, Sonar, Eclipse, IntelliJ, Atlassian Jira (Bitbucket, Confluence, Bamboo, Crucible.
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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. Skills: Stakeholder Management ETL Data Pipelines Effective Team Communication Product Management Data Engineering Data Management Master Data Management Agile Intelligence Community Client Engagement System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, and MOUNTAIN, LTD., are leaders in delivering outsourced services and workforce solutions across North America.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Nifi, Kafka, Scala, or Java. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Nifi, Kafka, Scala, or Java.
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React - 2+years Kafka/ RabbitMQ - 4+years Cassandra - 2+years Kubernetes - 2+years JBPM - 2years. Working Spring Cloud, Microservices, spring boot, Cassandra NoSQL database, spring security, REST Web services, Apigee, Zuul API gateway, Hibernate, Spring Data, JPA. React technologies.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL,Snowflake,Redshift, Aurora,Presto,BigQuery,Oracle. PopularCertifications: AWS Cloud Practitioner,Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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kafka job in Herndon, VA
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