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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Nous participons à la révolution digitale grâce à notre expertise en automatisation des processus, Big Data, IA, Cloud. Diplômé(e) d'une Ecole d'ingénieur ou formation équivalente, vous avez déjà participé à un projet Data (Big Data, BI) et vous avez une expérience de minimum 2 ans.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Understanding of cloud data engineering and integration concepts. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Senior Data Scientist. The Data Scientist is a key role in the transformation of business. Proven Machine Learning experience and involvement in data science projects and product delivery.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Develops complex financial, business, and data analyses and reports on case data using T-SQL, Python, MS Excel, Informatica, Power BI, Qlik Sense, Splunk and other big data analytical tools.
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Holt of California is proud to partner with San Joaquin Delta College for the ThinkBIG program.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
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Software Delivery & Testing, COBOL Development & Mainframe Solutions, Collaboration, Data Center Solutions, Endpoint Management, File & Networking, Identity & Access Management, Terminal Emulation, Workload Migration & Disaster Recovery, Government Solutions, Hybrid IT, Big Data, Security, Information Security, Application Security, Data Security, SecOps, InfoGov, Predictive Analytics, DevOps, and Security Analytics.
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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
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big data jobs Title: senior developer Company: Pwc
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