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Cloudera Certified Professional (CCP) Data Engineer, Elastic Certified Engineer, Elastic Certified Observability Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Developer.
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Use Informatica, Oracle, PL/SQL, Autosys, Exadata, Linux, Agile, Kanban, ETL, Syncsort, DMX-h, Hadoop, Teradata, Hive, SQL, Unix,. Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2. Apache Spark-> Hortonworks - HDP Certified Apache Spark Developer.
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Fullstack Job: Azure Cloud Java Full Stack Developer - FTE Azure Cloud Java Full Stack Developer - FTE Location: Weehawken NJ - Onsite FULL TIME JOB Required Skills: Apache Kafka Azure Databricks Cucumber JUnit Jakarta EE Microsoft Azure Mockito Non-Functional Requirements Postman API Your role.
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Good exposure on Hadoop ecosystems, HDFS, Sqoop, PIG, HIVE, MySQL, NoSQL, HBase, Flume, Oracle SQL developer. Extensive experience in the areas of OS-VS COBOL II, APS (Micro Focus)COBOL, DB2, VSAM, JCL, CICS with MQ and CICS Webservices on MVS/ESA/Z/OS platforms.
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You will join the Workflow Management Developer Experience team in Big Data scope to support Migration from Hadoop / Oozie (Spark, Perl, etc) legacy setup to a modern platform (AWS / S3 / Snowflake / Airflow.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
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ETL developer with Elasticsearch/Apache Spark/Scala experience. Using tools such as Apache Tomcat, Hadoop, SOLR, JDBC, ANT, Active Directory, LDAP, Regex, SQL, or JSON. ETL developer with Elasticsearch/Apache Spark/Scala experience.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Exposure to Cognos, Hadoop, Informatica, Microsoft Databricks. Professional certification in the Microsoft Azure (Azure Cosmos DB Developer, Azure Data Engineer, Azure Database Administrator.
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Experience with the following types of tools a plus: SAS, Apache Hadoop, Tableau, TensorFlow, BigML, Knime, RapidMiner, Apache Flink, DataRobot, Apache Spark, MongoDB, Trifacta, Minitab, Apache Kafka, QlikView, Julia, SPSS, Keras, Matplotlib, Pytorch, scikit-learn, Weka, Domino Data Science Platform, IBM Watson Studio, and Google Cloud AI Platform Marathon TS is committed to the development of a creative, diverse and inclusive work environment.
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3+ years of experience with Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop. 3+ years of experience as a researcher, analyst, data scientist or solution developer.
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Solution Architect and/or Developer Certification on Oracle Cloud, AWS, Azure or Google Cloud. Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. Due to rapid growth, Oracle Government Defense and Intelligence (GDI) is seeking several Pre-Sales Solution Engineers that have a passion for cloud concepts, and system integration, and cloud migrations that can support customer facing engagements along with several internal Oracle sales efforts.
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This position will be based in the Washington D.C. area and candidates will need to be able to obtain a Secret / Top-Secret Security Clearance to work with the US Federal government. Knowledge and experience with any of public cloud providers including Oracle, Amazon Web Services (AWS), Azure or Google (GCP) architecture, tools, and cloud methodologies.
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Unused balance will carry over each year up to a maximum cap of 112 hours. Providing pre-sales technical and functional support to prospective clients and customers while ensuring customer satisfaction.
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