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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Familiarity with Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics for big data and analytics solutions. Experienced on system integration and data migration within Dynamics 365.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
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Experience with Big Data technologies including Data Lake, HDInsight, Hadoop, and blob storage preferred. Develop Big Data and Cloud data acquisition, integration and analytics while adhering to corporate strategies, policies, best practices, IT General Controls (ITGC) and SOX compliance where applicable.
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Strong knowledge of Microsoft Azure services, including Azure App Service, Azure Functions, Azure Logic Apps, Azure Data Factory, and Azure SQL Database. Conduct data audits and ensure data integrity within the Dynamics 365 environment.
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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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Knowledge of data testing in DBT and Google Cloud certifications are a big plus. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets in GCP.
$81,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Apache Spark is a plus. 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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Especially Sales, Marketing & Power platform related certifications or Microsoft Azure certifications, such as Azure Administrator Associate. Strong knowledge of Microsoft Dynamics 365 platform, including configuration, customization, and security management.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality. A proven track record building and optimizing big data pipelines for analytic solutions.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
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Our Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
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big data jobs Title: hadoop consultant Company: At T
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