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Job Description: Title: Data Engineer Location: On-Site in Arlington, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance requiredJob Description: Our client is seeking experienced Data Engineers to join their Advana team.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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As a Data Solutions Engineer, you'll design and implement complex IT systems and solutions. Significant experience dealing with open-source, publicly available information (PAI) data sources and/or forensic media (i.e., DOMEX.
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Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise. Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Lead the design, develop, maintain, ETL (Extract, Transform, Load) processes and data pipelines for rule-based fraud detection system. As part of the team, you will be tackling cutting edge issues that come with cloud-based infrastructures, platform resiliency requirements, security, and data migrations at scale.
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As a member of this team you will collaborate across Engineering and Data teams to identify internal and external data sources to design and implement ETL strategy, automation frameworks, and scalable data pipelines.
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Experience on large scale data processing is a MUST. Interested in both backend service development and data analysis. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement effective solutions.
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Nearly every digital consumer experience across the company relies on Identity Platform for mission critical business operations, including streaming video content on Disney+, booking Disney Parks and Resort vacations, playing ESPN Fantasy Football, buying products from Shop Disney and many more.
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Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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The Data Engineer will be responsible for designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. At Clean Harbors, we are on a quest for a highly skilled and passionate Senior Data Engineer to be a part of our dynamic team.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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This includes our variety of brands like Disney, Hulu, ESPN, ABC, Marvel, and National Geographic to name a few. The Identity Engineering team provides critical consumer facing access, security, and identification services across The Walt Disney Company (TWDC.
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Building the future of Disney's media business: DE&E (Disney Entertainment & ESPN) Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come.
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Preferred Qualifications: Experience with data integration platforms is a plus (e.g., Databricks)Interested in both backend service development and data analysis The hiring range for this position in New York is $156,300-$209,600 per year.
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Title: data engineer Company: It Ebusiness Consulting Services
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