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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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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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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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Rather than finding ways to improve today's ammunition, we recruited industry experts in robotics, electrical engineering, polymer science, and molding to design the ammunition of the future. 3 to 5 years of hands-on experience in a tool room involving plastic injection mold repair or mold maintenance.
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Responsible for the implementation and coordination of supplier transitions with cross-functional teams and matrix resources tied to strategic sourcing activities (including overseeing on-line qualification trials, sample testing, and distribution testing)WHAT YOU’LL NEEDUndergraduate or graduate degree in Quality & Food Safety, Animal Science or Food Science preferred.
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As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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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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3+ years of relevant work experience in health insurance, healthcare, public health, pharmacy, advanced analytics, machine learning, data science OR a master's degree in one of the fields listed above OR an actuarial credential.
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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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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.
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We are seeking a candidate for Grammar School Teacher (4th/5th Grades) who possesses a deep understanding of the Math, Science, and Theology disciplines The candidate understands the place of Math and Science in a liberal arts education while also possessing a love for life-long learning.
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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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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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data science jobs Title: science lead in Plano, TX
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