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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.
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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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OurClient is looking for a full-time Big Data Architect with expertise in cloud computing and big data technologies to work directly with clients to provide innovative solutions to their business-critical problems.
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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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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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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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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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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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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.
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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 - 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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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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Big Data Architect IT Consultant Master. Experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes 5 Years. Knowledge of Big Data and Data Architecture and Implementation best practices 5 Years.
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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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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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big data jobs Title: big data architect Company: Kforce Inc
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