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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Stream Processing: Tools like Apache Kafka, Apache Flink, or AWS Kinesis.
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3 years of technical expertise in any of the following: SQL, Python, Databricks, Azure Data Factory/Synapse and Apache Spark. 3 years of technical expertise in any of the following: SQL, Python, Databricks, Azure Data Factory/Synapse and Apache Spark.
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Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop. Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop.
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Development and support skills in middleware technologies (SpringBoot, WebLogic, Apache, Tomcat, JBoss etc.) Good working knowledge of DevOps tool chain (Jenkins, Artifactory, Ansible/Chef/Puppet/Spinnaker, Maven/Gradle, Groovy DSL, Atlassian Tool suite.
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In addition, the developer will: Collaborate with team of full-stack engineers to design and develop software products that transform global mission Leverage modern Javascript frameworks such as Angularjs or React Engineer application software solutions using application frameworks such as Spring, JQuery, and web application servers such as Apache, WildFly [JBoss], Tomcat, WebLogic, or WebSphere.
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Experience with Apache Airflow and Apache Spark. Experience with Apache Airflow and Apache Spark. Familiarity with natural language processing (NLP) concepts and text generation techniques is beneficial.
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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3+ years of Experience with Apache Spark, Kafka, Pig, Oozie, Flume, and Streaming and similar distributed computing technologies. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Experience with Documentum Content Servers, Documentum Index Servers, Apache, Microsoft Active directory (AD), Microsoft SQL servers, SAN and NAS. Hands-on experience as an Application Developer working with OpenText Content Server ECM Suite.
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Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Professional experience designing and implementing solutions for large-scale data storage and analysis, using tools such as Google BigQuery, ClickHouse, Google BigTable, Apache HBase, or ElasticSearch.
$144,200 - $233,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on working experience with VMware vSphere, Ansible, Azure, AWS, OpenShift, Kubernetes, RHEL, RHEL Satellite Server, Apache, JBoss, Active Directory, SMTP, ADFS, SAML, and DNS is preferred.
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Experience with Apache camel, Active MQ, Apigee, ONNX is preferred. Experience in handling borrower Credit Bureau reports (Equifax, Experian and TransUnion) preferred. Experience with Apache camel, Active MQ, Apigee, ONNX is preferred.
$94,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Other: Apache NiFi, Grafana, Microsoft Visio, Cross Domain Solutions, Ansible, Active Directory. Employ Apache NiFi and custom Python scripts to retrieve data from remote APIs, modify the data, and then distribute it according to customer requirements.
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