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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, ETL (ex. Experience with Cloudera CDP on-prem and public cloud; Solr SME. Expert. This is a Big Data Administrator Lead position and not a developer position.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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This is a Cloudera Big Data administrator position and not a developer position. Position Title: Cloudera Big Data administrator. Experience with building Cloudera cluster, setting up Nifi, Solr, HBase, Kafka.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Configure and manage Cloudera Data Science Workbench using Cloudera Manager. Nifi to kafka /Hbase /solr integration. Design and implement big data pipelines and automated data flows using Python/R and NiFi.
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Work with Hbase, Solr, and JanusGraph for data storage, search, and graph processing. Experience with Hbase, Solr, and JanusGraph for data storage and processing. This role requires strong technical skills in Java with Spring Boot, TypeScript with React+Redux, Hbase, Solr, JanusGraph, NiFi, Postgres/PostgreSQL, Ansible, Linux (RHEL), Python, and multithreading.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Firm and proven understanding of the electrical and mechanical systems used in a data center environment, including, but not limited to the following: electrical distribution and layout, transformers, PLC's, Generators, Switchgear, UPS systems, STS, ATS, PDU/RPP's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems and associate Fire/Smoke Detections systems.
$40 - $60 an hourFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with SAP S/4 HANA - Data Modeling using HANA Studio, ABAP Development Tools (ADT), Code Performance Rules and Guidelines for SAP HANA, AMDP, code push down techniques, CDS views, Business Object Processing Framework (BOPF) and backend OData services, Native SQL, ABAP Core data Services, Data Base Procedures, Text Search, ALV on HANA and HANA Live models consumption.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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Attends all progress meetings with the owner’s rep / data center construction Project manager. Data Center Construction MEP Coordinator – Ashburn, VA. This opportunity is with a leading general contractor of data center construction services.
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The Data Solution Architect must have familiarity with traditional data technologies (Data Warehouse, Data Lake) as well as transformative capabilities such as Data Lakehouse, Data Fabric, and Data Mesh in order to define go-forward strategies which are compliant for US Govt clients – including addressing Federal Cloud security requirements, data privacy, data security, and data integration approaches which are approved for US Govt use.
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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Data Center Construction MEP Superintendent Ashburn, VA. They build mission-critical facilities for data center facilities nationwide for Enterprise, Colocation and Hyperscale Companies.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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Other duties as assigned to support the mission and objectives of the CIC and ensure the successful integration of commercial GEOINT data into NSG operations. Serve as a technical subject matter expert on commercial GEOINT data integration, providing guidance and recommendations to optimize data access and visibility for NSG customers.
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