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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Proficiency in Java, Spring Boot, Python, Kafka, GraphQL, and AWS Cloud technologies. The Media & Metadata Acquisition and Syndication Services (MASS) team is seeking a Senior Software Engineer to help us deliver excellent linear & streaming experiences for Hulu, Disney+ and ESPN as a developer of our metadata integration platform.
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Technology competency areas – Java Spring Boot, developing Microservices components using Angular version 12+, developing API’s, Responsive UI, DevOps – CI/CD, Bitbucket, Jenkins, Docker, OCP, Kafka.
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Hadoop, S3, AWS, Google Cloud etc. We are also the engine that drives a fully functional world class data warehouse on top of Hadoop, this means providing tools to define data cubes and syncing high load of data from a processing Hadoop to other systems using in-house built Applications.
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Minimum of 5 years of experience in web application development or software engineering in a large enterprise environment using Java, including familiarity with modern frameworks and platforms (e.g., Spring, Docker, Kubernetes, Kafka.
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Environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Perform data collection, analysis, validation, cleansing, developing software in support of multiple.
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Experience with data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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Experience with the following tools and technologies: -Hadoop, Spark, Hive, Elastic Search -Experience with various database and big data -Google Cloud DataFlow, Apache Beam Ability to develop and write technical specifications.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Integral team member of our Data Engineering team responsible for design and development of Big data solutions Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Snowflake Responsible for delivering data as a service framework.
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Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk. Phoenix Cyber is looking for security focused Python programmers to help develop custom plugins and 3rd party integrations for a commercial-off-the-shelf cybersecurity software product.
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Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform. Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE.
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Stay informed about industry trends related to Kafka, Flink, and Kubernetes. They will need expert-level expertise with Kafka, Flink, and have a heavy Java application development background.
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Expertise in two or more data estate workloads like Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), HDInsight, Hadoop, Cloudera/Hortonworks, Apache Spark, Snowflake, MapR, AWS (Redshift, Glue), Google (BigQuery), MemSQL, MarkLogic, Qubole, Pivotal (Greenplum), Actian (Avalanche), Alibaba (MaxCompute) required.
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The Lead Software Engineer will report to the Mgr-Technology. Bachelor's degree in Computer Science, Information Systems, Software, Electrical, or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo in Dallas, TX
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