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Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
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Part of the Product Marketing team for Mailchimp, the Technology Partnerships team is responsible for listening to the market, uncovering consumer insights, identifying opportunities that influence the product integrations roadmap, and developing audience relevant strategies and go-to-market plans that drive revenue growth and integration adoption.
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As a Senior Machine Learning Engineer, you will collaborate closely with hardware engineers, data scientists, product managers, and notably, core developers of Electronic Design Automation (EDA) tools.
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In collaboration with other members of Stanford Libraries, the successful candidate will support this mission through campus-wide outreach efforts as well as the development of Library services that address the growing need for support of data science methods.
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As a Principal AI/ML Engineer ,you will be responsible forbuilding machine learning based solutions for Data Integration, Data Quality, Master Data Management, Data Governance, and other Information Management solutions.
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Prioritize data sources for integration, identify key contacts (PoCs). Heavy emphasis on BigID including vetting requirements features and activating for BigID- SOPs, data governance Please let me know if you have any questions.
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Strong technical experience in some of the following areas: (1) Selection and integration of services in the AWS stack; (2) Experience with CI/CD tools like Docker, Kubernetes, and Github Actions and (3) Data streaming architectures and methodologies such as Kafka, Solace.
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Our customers love Dremio's SQL Query Engine (aka Sonar), our data lakehouse query service purpose-built for SQL, because it offers lightning-fast performance, complete SQL functionality, best-in-class integration with BI tools, and support for leading open table formats.
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The AIML Integration and Delivery / Transparency Engineering team is looking for a Data Engineering manager. 6+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured.
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2+ years experience in working with key technologies such as Central Processing Unit (CPU), chipsets, motherboards, Field Programmable Gate Array (FPGA), Basic Input/Output System (BIOS), Baseboard Management Controller (BMC), memory, Peripheral Component Interconnect Express (PCIe), storage, networking, Power, Thermal and familiarity with manufacturing and system integration processes for cloud servers and racks.
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Experience with Big Data Applications and Infrastructure, Storage, Open Source Applications, Enterprise Application Integration, Database, Business Intelligence software concepts and products preferred.
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Delivery of large data management projects (including integration, analytics, and/or governance) over $1MM. Deploy solutions with Data Virtualization for business adoption at a scale that´s unprecedented.
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Architect/Collaborate with data engineers on data strategy and infrastructure partners to implement robust, scalable solutions and operationalize models for seamless integration into processes and applications.
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Understanding of cloud technologies from AWS, Azure, GCP and others, specifically: Elasticsearch, SQL databases like PostgresSQL, Apache Redis, Kafka, and Flink, and NGINX.Knowledge of API’s and webhooks and API development for 3rd party integration among SaaS products.
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Develop and maintain data processing pipelines for CRISPR screen analysis, sgRNA library design, and data integration from CRISPR screens with other data types. Specifically, the candidate will work on developing and applying cutting edge approaches for modeling massive single cell and bulk multi-omic datasets and CRISPR screen data.
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data integration jobs in Milpitas, CA
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