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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Stay abreast of emerging technologies and trends in martech, API development, cloud computing, and data engineering to drive innovation and improve martech capabilities.
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1+ years of experience with BI/Visualization tools (Google Data/Looker Studio, Tableau, etc) 3+ years of experience working with data warehouses (BigQuery preferred, Redshift, Snowflake, etc.
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Experience with data visualization tools (e.g., Tableau, Power BI, etc.) Identify and implement advanced analytics tools and technologies to support data visualization, reporting, and monitoring of supply chain KPIs.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Review, augment, and build critical metrics for responsible systems, using visualization tools. Manage an engineering team responsible for analyzing, designing, programming, debugging, and enhancing software solutions used in various computing environments.
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Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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Must possess experience in data warehouse, data engineering/integration, master data management, and reports and dashboards engineering. 7+ years experience in data warehousing, data analytics, data engineering or a similar role.
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The Resort Technology team designs, develops, supports and optimizes Guest and Cast experiences across Resort locations at Walt Disney World, Aulani, and the Beach Resorts. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney.
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Experience with software delivery lifecycle, including web and mobile application development, backend service development, and multi-vendor environments. Through the collaboration among Technology, Digital and our business partners, we strategically drive innovation, development, delivery and operational excellence of the products and services in our portfolio.
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Analyze survey reports, maps, drawings, blueprints, aerial photography, and other topographical or geologic data to plan projects. Ability to manage, import, and create 3D surfaces from ariel and topographic site survey data in Autocad Civil 3D.
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Craft and build a roadmap for delivering a world class support model and ensure ongoing health and performance of technology solutions. Proactively find opportunities for technology optimization and efficiency improvements, driving innovation and scalability.
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This role sits in the Resort Technology organization within Technology & Digital for Disney Experiences. Oversee finances and budgets in MyPPM, ensure accurate billing processes, and contribute to forecasting and accrual processes to maintain financial integrity and support organizational objectives.
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Extensive experience with data mining, text mining, systems biology and network analysisExcellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc
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