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We are seeking a Big Data Administrator/ Lead. Candidates must have hands-on Cloudera Solr, HBase implementation experience. This is a Big Data Administrator Lead position and not a developer position.
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Engineering experience in big data environments, including data lakes, Azure Synapse, Databricks, Redshift, Snowflake. Build data engineering solutions in a Databricks/Azure data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics.
$46 an hourInternExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Big Data Technologies, experience in managing and analyzing large-scale datasets.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Bachelor's degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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This is a Cloudera Big Data administrator position and not a developer position. Position Title: Cloudera Big Data administrator. Design and implement big data pipelines and automated data flows using Python/R and NiFi.
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Experience with 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.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing.
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Experience with Big Data ingest and processing technologies (e.g. ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark) The SWE will be responsible for sustainment activities and manage all aspects of analyst-generated spatial data for NGA. AGCMS utilizes ESRI products to manage storage, discovery, access, dissemination, and processing in a cloud environment.
$156,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Since 2006, Intelligent Waves has delivered mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network engineering, software development, and platform mission support.
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About The DarkStar Group Our Company The DarkStar Group is a small business that solves BIG problems. Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.
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Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management. Design scalable data processing and analytics solutions, including Big data storage for various data types and large-scale data processing using Databricks.
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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 Logstash and Databricks for data processing and analytics.
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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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big data jobs Company: The Darkstar Group in Herndon, VA
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