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As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of this client's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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Open up opportunities with HPE.Job Description:Senior Big Data Platform EngineerHPE is looking for Big data platform engineers with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms based on Hadoop/Cloudera , Data Bricks and other cloud platforms.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications:Bachelor's Degree/equivalent in business, human resource management, industrial organizational psychology or data science. Demonstrate a commitment to continuous improvement, and lead efforts to harness the power of data to drive informed decision-making.
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Extract and analyze data using various software packages including, but not limited to, Microsoft Excel, SPSS, Oracle SQL Developer, Argos, Collin College Student Information System (Banner) and the Collin College Data Warehouse (Zogotech), Workday, R and other tools as needed.
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Strong technical expertise in polymer science, materials engineering, and process engineering. Stay current with industry trends, emerging technologies, and best practices in polymer science, engineering, and recycling.
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Work with others to support the following phases of eDiscovery process: identification, preservation, collection, data processing, and limited internal document review. The primary responsibility of this role is to support the Toyota Legal One department with the following phases of the eDiscovery process: identification, preservation, collection, data processing, and limited internal document review.
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Bachelor's degree (or higher) in Computer Science or related discipline, or equivalent work experience. 2 or more years of hands-on experience with EnCase, Cellebrite, Nuix, Magnet Forensics, ZL, Relativity, and other eDiscovery technology solutions.
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Preferred Bachelor of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math; Developer or Data Analytics nanodegree; or equivalent experience.
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Deep Adobe Experience Manager Assets expertise, primarily focused on how this coding can scale and support our Omni-Channel marketing efforts Implementation, development, and ownership effectively navigating complex channel requirements for Digital Asset Management and Go-To Market construct Hands on experience with Adobe Experience Manager Assets integrations into Marketing, Advertising and Data Platforms.
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X or greater Banking domain Pega experience (especially in compliance and risk) Strong understanding of key business elements Prior framework implementation experience Strong Data analysis skills Graduate / Undergraduate studies in computer science is a plus.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. 5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools.
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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data science jobs Title: data science lead in Allen, TX
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