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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME's and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Autodesk Forge development and data integration experience is a big plus. Hands on experience Dell Boomi Integration / Boomi Flow or other integration platform. Title: Dell Boomi Integrator.
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Led or participated in large scale data and business transformation projectsWork around conflicting stakeholder prioritiesExperience in Big Data Toolsets such as Python, Hive, Arcadia, etc.
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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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In addition, you will disseminate findings across the PPS organization with visibility from leadership and other Priceline teams, and you will get to work with a modern analytics tool stack, truly big data, in the fast-moving travel industry.
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.
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Focused on people and grounded in data, our award-winning culture fosters meaningful careers. Our team is made up of over 500 employees globally, and our work for brands like Apple, Athleta, Best Western Hotels & Resorts, Kohler, McDonald's, Nike, Old Navy, Sephora and Shake Shack runs across 85+ countries and has received top industry recognition from Cannes Lions to Adweek Media Plan of the Year.
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Provide thought leadership around best practices in analytics platforms, business intelligence, data management and Big Data. Conduct Business Intelligence and Dashboard Orientation Trainings for business users to increase adoption of BI/data tools.
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On a daily basis, analysts on the team review millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.
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Qualifications: Required: Hands-on experience with web development using Java, Spring Boot, HTML5, Java Script, jQuery, CSS. Experience with React/Angular is a big plus. Qualifications 4+ years of full stack application development experience using Java, J2EE, Spring boot, Spring cloud, Spring Data JPA, Spring Integration, ReactJS/Angular, Node.js.
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big data jobs in Irving, TX
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