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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack Experience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set up Experience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
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8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. NET, Python And Minimum of 4+ years' experience with databases and data modeling / design (SQL and NoSQL) And Minimum of 3+ years coordinating team efforts in a project or operations environment Minimum of 2 years in full stack development for cloud solutions (Azure or AWS) - Azure preferred 8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Experience understanding, using, and employing syndicated data, customer card/POS data, and panel data to guide internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC.
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We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.
$117,998 - $158,290 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud data warehouses (Snowflake, Databricks) Contributes to data governance practices, including data quality, data cataloging, and metadata management. Analyze and interpret data from digital marketing channels (PPC, SEO, social media, email marketing, etc.
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Experience with data pipeline development tools in a modern data stack such as dbt, Databricks, Redshift, BigQuery, and Airflow. As a Senior Data Scientist you will partner with our Growth Marketing and Product teams to integrate data science solutions into the overall subscriber growth strategy.
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UMG’s Analytics & Insights team within the Global eCommerce & Marketing group is looking for a Senior Business Intelligence (BI) Developer to help unify data sources, package analyses, and communicate meaningful insights to internal, label, and artist management audiences.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Analyzing data in platforms like Meta Ads Manager and TikTok Ads Manager. Utilizing data, research, and creative insights to formulate effective creative strategy. As a key member of our strategy team, you will harness data, creative insights, and market research to craft compelling performance ads aimed at driving client revenue growth.
$100,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Data Scientist Intern delivers analytical solutions using programming, data-mining, statistics, machine learning, and visualization techniques. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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Master's degree in Student Affairs, Higher Education Administration, statistics, data analysis, or related field is preferred. Familiarity with software and tools common to large-scale data collection, assessment and evaluation, statistical analysis, and data visualization: Qualtrics, SPSS, R, Excel, Tableau, D3, Plotly, etc.
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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.
Starting at $20 an hourWork from homeExpandApply NowActive JobUpdated Today
big data jobs Title: developer Company: Walt Disney in Santa Monica, CA
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