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Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services. This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
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This role is supported through the guidance of the rest of the Insights & Analytics team along with other data specialists across GCO, with business knowledge provided by the Casino Marketing team.
$60,600 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Prepare and supply data for key processes both shipboard and shore-side, within GCO and with each of the brand partnersInterpret data and present results in a clear and concise way. Partner with Global Casino Operations Analytics team and brand IT teams to grow and improve the quality of data available to inform guest offers and analysis of the businessReview recurring needs and questions with an eye to automate and streamline processes where possible.
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Quantitative Analyst/Trader, Data Scientist, Quantitative Economist, etc). ● Degree qualified and Masters in Quantitative Finance, Data Science or related qualification● Some exposure to the design of both pricing and execution algorithms● Experience of handling and analysing large datasets, including price data● Experience in using one or more statistical programming / data management languages.
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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.
$20Work from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with a Data Integration/Transformation for on-prem and Cloud tools (Such as Informatica, dbt, fivetran, Snowflake, etc. Expert knowledge of AWS, Azure, Snowflake, Data Virtualization and AI/ML technologiesIntermediate skills in Modeling tools (ER/Studio, Spark Enterprise Architecture, Erwin) and techniques (normalization, star schemas, data vault.
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The animal care team at our Miami pet resort loves keeping pets entertained and happy throughout their stay. We offer resort-style boarding, doggy daycare, training, and grooming—all the exceptional amenities that most pampered pets could desire.
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Engage in services under the direction of the supervising SLP, including: Records data relative to student performance Conducts and score speech, language and hearing screening Implements student treatment programs designed by the supervising SLP Performs clerical functions necessary to maintain student performing data Reports changes in student performance to supervising SLP Prepares clinical materials and maintains equipment ssist in the evaluation or treatment of difficult-to-test students.
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The researcher will be part of a growing team of graduate and postgraduate colleagues and will collaborate with computer scientists at the Algorithmic Transparency Institute (a project of the National Conference on Citizenship) and other academic and non-profit organizations on data collection, analysis, academic reporting, website development, and other public outreach and engagement.
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The ideal candidate is a strong communicator who loves storytelling and is a creative, talented relationship-builder who can work collaboratively with stakeholders at all levels of the organization in a fast-paced, dynamic environment.
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What was once a black-box for major brands selling into retail has now transformed into a wealth of data-driven opportunity. The Lucky team works with leading retailers like Sephora and Nordstrom and inspiring brands such as Makeup By Mario, Dolce Vita, Nécessaire, and many more to scale both eCommerce and retail velocity through digital attribution and granular inventory data analytics.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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