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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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Bachelor’s or Master’s degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 6 experience with Data Architecture, Data Engineering, Operating model. Accenture’s SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Developing and Implementing Big Data-Hadoop, Ab Initio, Teradata, SQL, ETL, and Data Warehousing; Utilizing DevOps and Agile methodology; Planning using Jira and Jenkins during development; and Developing Python scripts for automation or analysis work.
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Minimum of 6 years performing Data Governance strategy and execution (SAP focus is a must but should have familiarity with other governance tools) Minimum of 1 year experience with building scalable data architecture to support both batch and real-time data from SAP and Non-SAP systems.
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Have a Bachelors or Masters Degree in Computer Science, Data Engineering, Big Data, Machine Learning, Data Science & Analytics or a related discipline. You have exposure and interest in Data Engineering, Data Ops or Big Data.
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