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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud 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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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.
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Recruitment of brass students across all areas of the school, including students within the areas of Symphony Orchestra, Wind Symphony and Symphonic Band, Jazz “Big Bands” and Combos, “Green Machine” Pep Band, and various Brass Chamber ensembles; and.
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Experience as a tax partner, providing federal, multi-state, international tax-related compliance and consulting services, for a Big , large national, or regional accounting firm with a demonstrated record of having provided leadership, client service, and business expansion.
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We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. Be heavily involved in the deployment, monitoring, troubleshooting, and analysis of Wide Area Network (WAN), Local Area Network (LAN), and Wireless infrastructure services to deliver voice, video and data applications to Montgomery County Government and County Agency offices.
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Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc. Desired Skills: Experience with Apache Spark, Apache Streaming, and Jupyter Hub+ Event Reporter to introduce ML and pattern recognition to discover hidden insights.
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Experience working with vendors such as Fiserv, Finicity, FIS, a big plus. Identify end-to-end opportunities across Check processing, ACH, Wires, P2P, Faster Payments and Real Time Payments that will support PenFed's growth across Deposits, Secured and Unsecured Lending.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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3years progressive work experience, preferably with a "Big Four" or large regional public accounting firm, or in finance at a large public company. You will leverage your advanced education and experience to establish yourself in NVR's big picture and affect positive change.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud 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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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Basic understanding of distributed computing and big data technologies such as Apache Hadoop, Spark, or Kafka. Familiarity with DevOps scripting languages (Gitlab CI/CD) AWS Cloud Practitioner or AWS Associate Level Certification Streaming data experience: Kafka, Firehose, Kinesis, etc ElasticSearch or OpenSearch integration.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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big job Title: caregiver in Fairfax, VA
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