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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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As a key member of our data engineering team, you will work with cutting-edge technologies such as Apache Spark, Hadoop, Kafka, and cloud services from AWS and Azure. Utilize ETL tools and frameworks like Apache Airflow or Talend to automate data workflows, ensuring timely and efficient data integration across the organization.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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They will also work closely with their peer VP, Infrastructure and Operations partner to ensure effective data backups and restoration is consistent with best practices (inclusive of disaster recovery and business continuity.
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Working knowledge of BI architecture and data warehousing concepts. Job Description: We are seeking an experienced ETL Informatica Developer to design and develop scalable ETL processes and Data Warehouses (EDW) using tools such as Microsoft SQL Server, Oracle, Netezza, and Informatica.
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The ideal candidate will have extensive experience with the Data Management Framework (DMF), data entities, and data structures within D365 Finance, along with hands-on expertise in data migration, data mapping, and D365 database upgrade processes.
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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Import/export data between Petra and SMT projects. Essential Job Responsibilities: Create input data, update and maintain Petra and SMT projects. Populate and manipulate data in Excel and Access, importing formation tops, perfs, pressure and production data into PETRA software.
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Versed in TensorFlow, PyTorch, scikit-learn, and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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Each Simulator is fielded with an Instructor/Operation Manual (IOM) and the additional reference data identified therein. The I/O will utilize the IOM and reference data set in the daily operations of each simulator as required.
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As an OPIS PCW Journalist, you will work with our senior editors in collecting and analyzing trade data to provide daily assessments for the benchmarked US Olefins and Aromatics markets. OPIS enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software and educational events.
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Must be able to manage analytical & data centric project controls. Coordinate with client, subcontractors, & joint venture partners on data integration & reporting. Advanced Microsoft Office skills including reporting through Power BI.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Three years of experience in developing full life cycle BI / data warehousing solutions, using ETL tools such as Microsoft SQL Server Integration Services, Oracle ODI, Informatica, using Analytics tools, such as Business Objects, Oracle BI and Epic Caboodle to design the user access layer for analytics and dashboards.
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data job Title: architect bi in Houston, TX
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