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NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Hands-on experience with any of the following data orchestration stack, ingestion frameworks, cloud-native patterns: Apache Airflow, Kafka, Nomad/Terraform, Kubernetes/Docker, etc. Analyze business and data processing/modeling problems to develop and implement applications, systems, and data solutions.
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Working with Big Data infrastructure, Engineering, and Operations, you will develop a scalable and sustainable analytics process. Your Data Science responsibilities will include understanding project needs, data science framing, performing exploratory data analysis (EDA), building, and validating models, and deploying models into production.
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Big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Communicates how T-Mobile can enable industry 4.0 capabilities to explore ways of boosting Commercial business productivity through robotics, IoT, big data analytics and augmented reality.
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Manage the material release schedule and delivery with Purchasing Agent and Project Controls Manager/Project Manager/Supervisor. Confer with Project Controls Manager and Assistant Project Manager to establish and maintain documentation tracking and reporting procedures on projects.
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
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Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management. EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Develop a comprehensive data privacy strategy for NRG Energy and its various businesses and brands (including Vivint, Reliant, Direct Energy), including monitoring strategy and risk assessments.
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Experience with data visualization tools: Tableau, PowerBI, Looker, etc. Familiar with data visualization tools such as Tableau, Power BI, or similar. Work within Google Cloud Platform (GCP) to design and manage components of a data product or service.
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big data jobs Title: data project manager Company: E Solutions in Houston, TX
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