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Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker, K8s). Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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11 West 19th Street (22008), United States of America, New York, New YorkLead Back End Engineer (Java, Spring Boot, AWS, Kafka) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.
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As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 6 years of professional software engineering experience (Internship experience does not apply.
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Our tech stack changes with our needs, but currently we are using: ELK (ElasticSearch, LogStash, Kafka), Cassandra, Kubernetes/Docker, ZooKeeper/consul, VMWare ESX, chef, puppet, terraform, Jenkins, and vault.
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Database - Design, familiarity with DDL and DML for one or more of the following databases Oracle, MySQL, MS SQL Server, IMS, DB2, Hadoop. Partners and consults with the business and technology teams to develop basic to complex code for internal and external client software solutions.
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10+ years of experience developing software solutions in Java / Python, Spark, ETL, Kafka, AWS Glue cloud platform. Lead a group of engineers building data pipelines using technologies like (Java / Python, Spark, ETL, Kafka, AWS Glue) on medium to large scale datasets.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data implementation - using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
$120 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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High familiarity with data platforms and BI tools such as S3, Hadoop, Tableau, Looker, Databricks, Snowflake, Redshift, Airflow, etc. FanDuel is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team.
$198,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with technology and system tools such as GIT for version control, Swagger for API documentation, ARO or PCF (Pivotal Cloud Foundry) for deployment, and Kafka MQ (Message Queue) for streaming systems.
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Apache Spark Cloudera CCA Spark and Hadoop Developer CCA175. Subject Matter Expert as an Application or Solutions architect in Apache Kafka and Apache Spark. The Confluent Kafka Administrator will be responsible for Design architecture implementation and ongoing support of Kafka clusters on an Event Streaming Architecture Pilot project.
$142,400 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Preferably with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, SparkSQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow,Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. The Full Stack Senior Engineer develops both front-end and back-end solutions. As a member of the Operations Technologies Group, the Full Stack Senior Engineer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Management & support of Cloudera services including, but not limited to: HDFS, Hadoop, MapReduce, Hive/Impala, YARN, Solr, Kafka, Oozie & Spark using Cloudera Manager and command-line. Aligning with systems administrator’s groups to deploy new software environments required for Hadoop and to expand/upgrade existing environments.
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Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. As a Senior Software Engineer, you have the opportunity to directly impact the world around you and contribute to classified programs and technologies you are passionate about.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo
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