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Solutions Architect, Azure or AWS Cloud platform, AI/Client & MLOps, Java, Spring, Microservices, Big Data, Streaming, Security, Application tiers & Network tiers. Demonstrated prior software development experience with expertise in client-side technologies (Angular/React, JavaScript/TypeScript, HTML, CSS) and strong experience using Java, Spring Framework/Spring Boot, and web application technologies.
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Proven experience expertise in UI development and advanced data visualization development and integrationDesign and develop intuitive and visually appealing user interfaces for web applications or websites using HTML, CSS, and JavaScript and front-end frameworks such as React, Angular, or Vue.js.
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Cloud & Data: GCP (GKE, Composer + Airflow, Dataflow + Apache Beam, BigQuery, BigTable, Firestore, GCS, PubSub, Vertex AI), Frontend Development: 5+ years with Angular, JavaScript, TypeScript, modern responsive web applications.
$84,000 - $126,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Linux, Apache, MySQL, PHP, JavaScript, TypeScript, and the Angular framework. Supporting client mainframe application modernization projects through the solution design, calibration, code and data conversion, testing, and validation phases.
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Experience with CI/CD and Big Data systems. 3+ years of experience working with large single-page apps using frameworks such as React, Vue.js or Angular. Comfortable with basic data science, data visualizations, and analytical products (Tableau, Looker, Mode Analytics.
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Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Terraform, Docker and Kubernetes, and a variety of Azure tools and services to build an Event Driven Big Data Streaming platform for an ELT data pipeline.
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Hands on experience in use of languages, such as HTML, CSS, and front-end Javascript frameworks like React, Angular, or Vue.js. The Guidehouse Team supports the OSE Data Governance Division by performing data quality, data metrics, data sharing, data governance, and data analysis initiatives as well as configuring and performing operations & maintenance on a COTS data governance tool.
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Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across DICKs.
$83,000 - $138,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop responsive and user-friendly web interfaces using HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, or Vue.js). Strong proficiency in HTML, CSS, JavaScript, and front-end frameworks (e.g., React, Angular, Vue.js.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus. Your expertise in Airflow, DBT, and Databricks will be essential in optimizing our data workflows and enabling advanced analytics and insights.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance. Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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Data Storage: Azure Blob Storage, Azure Cosmos DB Search and Indexing: Azure Cognitive Search, Elasticsearch OpenAI GPT models, Azure Cognitive Services Frontend: Angular, HTML, CSS, TypeScript Backend: Node.js, Python.
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Building streaming data pipelines using Kafka, Spark, or Flink. Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis.
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