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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience with relevant technologies and tools such as SQL, Python, UNIX/Linux, Shell Scripting, BigQuery, distributed data processing, and software development methodologies. Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units.
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Design and develop integration capabilities between Informatica MDM and various data sources/systems including on-premise and AWS cloud environments using IICS, Power Center, IDQ, Web services and other integration mechanisms and patterns Data modeling & Data Mappings (Landing, staging and Base Objects), Data validation, Match and Merge rules, SIF Framework and MDM User Exits.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with acoustic telemetry data, systems (VEMCO/Innovasea), networks (OTN, ACT, FACT), metadata, and analysis software (e.g., VUE, Fathom). Ability to write reproducible code for data handling, analysis, and visualization in R statistical software.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Applies a solid understanding in one or more of these areas (IT General Controls, Cybersecurity, Cloud operations, Data governance, Data privacy compliance, or Big Data) to execute technical audits or other risk and compliance-related initiatives in order to identify, assess, and explain risks, report findings, and develop and communicate recommendations.
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Cyber security business and systems subject matter management expertise in Application Security, Data Security, Data Governance, and Network Security domains. To ensure the organization's data remains protected from inappropriate access, disclosure and/or damage.
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big data jobs Title: big data software engineer Company: Bayer in Washington, DC
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