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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 3 days ago - UpvoteDownvoteShare Job
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Experience with Zero-Trust Architecture and Cloud services, including AWS, Azure, or GCP.Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection.
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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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Capabilities for the system target a wide range of platforms, operating environments, and architectures – ranging from enterprise applications to desktop applications utilizing the latest technologies, tools, and methodologies in microservices, DevSecOps, and big data analytics.
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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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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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The purpose of this effort is to advance the state of the art in Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to enhance the DoD’s and the IC’s information processes and technical architectures.
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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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Supporting the Big Data / Hadoop databases throughout the development and production lifecycle. Configure and manage Cloudera Data Science Workbench using Cloudera Manager. Move data and use YARN to allocate resources and schedule jobs.
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The Agile Development Group (ADG) specializes in developing disruptive, next-generation technologies for advanced Unmanned Air Systems (UAS / UAV), advanced radar systems, next-generation weapon systems, and other RF sensor technologies using small company agility and big company experience.
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Principal Big Data Software Engineer with an active Top-Secret Clearance. Big Data applications using PySpark or Scala-Spark on Hadoop, Hive and/or Kafka, HBase, MongoDB.
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Familiarity with big data technologies such as Apache Spark is a plus. Proven experience as a data engineer with a focus on data processing and integration. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a skilled and experienced Data Engineer to join our team.
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Fast-paced, high-growth, technology driven marketing company serving the automotive digital marketing industry seeks hard working Senior Data Engineer. Experience with Google Cloud Platform technology stack: BigQuery, Data Flow, Data Fusion.
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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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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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big data jobs Title: senior data engineer Company: Apex Systems in Ashburn, VA
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