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The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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The Data Engineer is primarily focused on analytical processes with ability to implement database solutions and best practices in the realm of machine learning projects.
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Familiarity with advanced analytics techniques, such as predictive modeling or machine learning using technologies such as Microsoft Azure Machine Learning or Python. Implement data security measures and ensure compliance with data governance policies.
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Work closely with the rest of the Pre-Sales and Product management team and build Proof of Concepts ( PoC) using Machine Learning, Natural Language Processing and AI powered platform focused on advanced technologies such as deep learning, process automation, etc.
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Knowledge of Guidewire Renewal API and data migration strategies. The Guidewire Policy Center Architect plays a pivotal role in crafting and executing solutions with the platform's latest advancements.
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Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
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Software applications, industrial equipment, financial markets, blockchain activity, consumer behavior, machine learning models, climate change, and more. You'll figure out how to unlock the growth of data-under-management for users on our database cloud, including the adoption of new product features to the benefit of our users.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data and Reporting initiatives across the organization. As a member of our Data Analytics team, the role will be to work closely with our Data Architect and IT Director and business stakeholders across the organization.
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Develop/Install/Commission Plant Controls & Automation Systems, including PLC Programming, HMI Development, & MES Data Collection. Sr. Controls Engineer. Develop/Install/Commission Plant Controls & Automation Systems, including PLC Programming, HMI Development, & MES Data Collection.
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Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve operational efficiency, productivity, speed, and accuracy. Requires two years of experience in the job offered, Technical Lead, Software Engineer, IT Engineer, or related occupation.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge.
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Experience with governance risk and compliance ( NIST, GDPR, etc), penetration testing / red teaming, security operations / security monitoring, cloud security architecture. Experience with Data Privacy, Business Continuity, Technology Education.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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2+ years in cloud data engineering experience in Azure Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools is a plus. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.
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machine learning data governance processing database architect jobs Title: data engineer in Plano, TX
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