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The Senior IT Data Engineer is a hands-on position using a modern data engineering stack deployed within the Microsoft Azure cloud. Minimum of 5+ years experience in a Business Intelligence, Data Architecture or Data Engineering role or equivalent.
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You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform.
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Hands-on laboratory operations such as molecular biology, shake flask, bench scale bioreactor and novel culture platforms. Experience in statistics and data analysis (e.g. JMP, Spotfire.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. Infrastructure Operations: Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Hands-on production experience with orchestration systems such as Airflow. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. 2+ years of data engineering experience developing large data pipelines.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Hands-on production environment experience with distributed processing systems such as Spark. On any given day at Disney Entertainment & ESPN Technology, were reimagining ways to create magical viewing experiences for the worlds most beloved stories while also transforming Disneys media business for the future.
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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5+ years of software engineering experience developing backend applications. Extend functionality of current Data Capture platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization.
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Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform. Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
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hands on data engineering jobs Title: architect business in Columbia, Missouri
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