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Google Cloud Platform - Professional Data Engineer, Google BigQuery, Hadoop Big Data Stack, UNIX Shell Scripting, Agile Methodology. Migrate the historical data from Teradata data warehouse to Google Cloud Platform Big Query using Big Query Transfer Service.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. 1-2 years of experience in Google Cloud Platform (especially Big Query.
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Ensure external networks receive cybersecurity inventory reporting for compliance data via Splunk logging and/or DoD Enterprise Logging Ingest and Cyber Situational Awareness Refinery (ELICSAR) Big Data Platform (BDP.
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Agile Scrum master (Program Management) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, HBase, Docker-Container, Pod man, OpenShift / Kubernetes, Ansible and many more.
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Experience with large scale data systems and various tools such as Kafka, ETL, Spark, PySpark, MongoDB, Kubeflow, Snowflake, DynamoDB, ElasticSearch, or similar. Expertise in AWS cloud services, Terraform was a big plus.
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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.
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
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The ideal candidate will also have a foundational understanding of big data platforms like Databricks, platform automation using Python and APIs, server-side experience with Linux OS, and a solid grasp of AWS fundamentals.
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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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Experience with Smartsheet Dynamic View, Data Shuttle, Data Mesh, Pivot, and Control Center. Knowledge of data integration tools and experience integrating SAAS applications with different business systems (ETL, CRM, business analytics, reporting, etc.
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Demonstrated history of working in Business Transformation, ERP Implementation, Master Data Management, and enterprise Integration. Ability to do a deep dive into functional components and controls while simultaneously seeing the big picture and connecting all the dots.
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Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc. Using our proprietary solution set, GxFource , we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.
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Design, develop, test, deploy, and document big data cloud computing workflows. Are you intrigued by big data? Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. ACAT I or equivalent program experience implementing government and DoD-adopted industry CM/DM policies to accomplish requirements management, change management, deficiency reporting, production and delivery, and data management against the performance, functional, and physical baselines over the weapon system life cycle.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc. Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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big data jobs Company: Dice in Parkville, Maryland
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