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Create/Maintain customer agreements details in SAP according to the onboarding customer master process to ensure master data integrity. Customer Contacts in a Salesforce opportunity it should be added to SAP customer master data.
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Bachelor of Science or Master of Science degree in Structural civil, with a major in Structures and 5-10 years of experience with advance knowledge in structural engineering. Perform structural design and analysis calculations using governing codes, specifications and standards (AISC, IBC, RMI, AISI, ASCE, ASTM), engineering formulas, skills, and experience.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Two or more years Experience with Big Data on GCP - Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, etc. Resolving user issues for data services in Hadoop, Spark and GCP like dataproc, dataflow, composer, GKE, storage, Compute, BQ, cloud functions to name a few.
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Starting salary to be determined by the education, experience, knowledge, skills and abilities of the applicant, internal equity, location, and alignment with market data. Master's Degree (or equivalent experience) Master of Business Administration (MBA) or equivalent Preferred.
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DescriptionJohnson & Johnson Innovative Medicine is recruiting for a Director, Early Development Lead-Solid Tumor Oncology to join the J&J Research and Development Data Science and Digital Health team.
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Study Strategy: Provides the strategic direction to Biostats Data Mgmt & Data Ops for EDC, edit checks, data quality listings, SAP, Data Mgmt plan; Reviews patient population and protocol compliance for consistency with study strategy; Develops biomarker strategy in collaboration with Translational Medicine/Clin Pharm; May act as Clinical study leader (CSL.
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Strong knowledge of data architecture and master data management. Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Microchip’s Data Center Solutions Business Unit (DCS) delivers industry leading performance, reliability, and security in Storage Controllers, Memory Controllers, NVMe SSD Controllers, PCIe Switches and SAS Expanders that are applied in Cloud Storage and Compute Data Centers, and Storage Area Networks.
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To be considered for this opportunity, you must have the following: Bachelor's in Statistics, Computer Science, Mathematics, Engineering, Life Science or related field with 10 years of programming experience preferably in processing clinical trial data in the biotechnology, pharmaceutical or health related industry.
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Knowledgeable in programming, data structures, computer systems, and software engineering. -Works with data and project managers to understand systems and consults with customers to understand needs.
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Help inform the North American Actuarial data strategy and recommend analytical / querying tools. Build and implement profitability monitoring tools and diagnostic initiatives, while maintaining documentation of data and processes.
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Product strategy, product development, web development, mobile development, product consulting, UI development, digital marketing, innovation consulting, digital transformation, emerging technology, corporate venture, blockchain, data science, machine learning, design thinking, and user experience design.
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Collect, integrate and analyze HR data from diverse systems, employing data mining and analysis methodologies that contribute to predictive analytics and the development of leading indicators, ensuring data integrity, accuracy, and confidentiality.
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Collecting data on associated environmental variables (e.g., slope, aspect, canopy gaps, microclimate, etc.) Data will be collected on the structure and composition of forest vegetation throughout the state, and comparing forests of different ages, habitat types, and landscape contexts.
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master data jobs Title: buyer Company: Randstad in Bedminster, NJ
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