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Big Data and Analytics: To handle and analyze enormous volumes of data, Data Engineer should have experience use big data technologies like Azure Databricks and Apache Spark to create data processing workflows and pipelines, to support data analytics, machine learning, and other data-driven applications.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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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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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) Were looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Divisions (OHD) big data and analytics platform.
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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.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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10- 12 years of experience in building solutions using Databricks on Azure or on Big Data, SQL Data, and other sources. 1-2 Migration project level experience from Hadoop ecosystem to Azure Databricks & related DBs along with data integration job migration.
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Tapping into your passion for technology and knowledge of modern big data trends & tools. Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Join a smart, highly skilled team with a passionfor technology, where you will work on our state of the art Big Data Platforms. The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Demonstrate deep knowledge and ability to lead others in the data engineering team to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities.
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
$90 an hourExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
big data jobs Title: technology lead Company: Lumen
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