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Du setzt Objektorientiertes Python für skalierbare Big-Data-Pipelines, ETL, Web-APIs und Microservices ein und nutzt Big-Data- oder Cloud-Integrationstechnologien wie Databricks, Azure Data Factory etc.
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Experience with project planning and execution, big data analysis, and budget management skills are desirable. Program activities may include problem or priority areas in sugar factory operation and efficiency, improvements to factory equipment, automation and sensors, heat and mass balances, big data analysis or other areas related to sugar engineering.
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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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The Database Security Engineer Lead is responsible for implementing and maintaining security systems that provide detection, prevention, containment and deterrence mechanisms to protect the integrity of relational database systems, AWS cloud native databases, NoSQL and big data platforms, and the data they contain.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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Familiarity with Databricks for big data processing. Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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Knowledge of big data ecosystem such as Hadoop, Cloudera, Informatica Data Platform Azure DevOps and CI/CD experience would be helpful. Understanding of data services including ComosDB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse, Snowflake and when to use each.
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You enjoy using big data to derive insights and have the business acumen to convince others of the best path forward and drive change. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Job Segment: Cloud, Data Center, Engineer, Manager, VP, Technology, Engineering, Management. Represent Supermicro and lead the promotion inquiries of Data Center Solutions to win CSP, NCP, cloud businesses.
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Proficiency in infrastructure as code (IAC) using Terraform for AWS and Snowflake is a big plus. Design, build, and maintain data pipelines that enable the extraction, transformation, and loading (ETL) of data from various sources into Snowflake data warehouses.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Expertise in Python, R, SQL, statistics, data mining. 5+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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big data jobs Title: data project Company: Oracle
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