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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Job Req ID: 24318 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Job Req ID: 23250 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with big data programming languages and technologies (i.e. Python, SQL, AWS Athena, etc.) Preferred Qualifications: Analytical with strong problem-solving and critical thinking skills; process-driven Experience with Agile and Lean methodologies Experience with operating cloud data warehouses or data lake (e.g., Snowflake, AWS) Experience with order processing flows, warehousing equipment and software, data-science, and performance analytics General understanding of supply chain planning and execution.
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The auditor should have prior work experience in use of analytical tools (e.g., SQL, Python, ACL, Alteryx) to analyze and visualize big data. The Manager, Internal Audit Analytics is required to use data-analysis tools to perform and execute audit procedures of big data primarily involving consumer finance operations (e.g., billing, collections, servicing.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps , CI and CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Key Responsibilities Create and implement digital data strategy plans aligned with project goals.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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The Senior Enterprise Data Governance Steward partners with counterpart Data Stewards within the Business Process Owner’s (BPOs) line of business, Internal Audit and Enterprise Risk Management (ERM), to ensure consistent adoption, approach and adherence to the treatment of data across the Bank.
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Lead Data Scientist - Remote. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark.
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big data jobs Title: developer Company: Vdart Inc
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