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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions.
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As the Enablement Data Scientist, Integrations & Partnerships, you will support DataRobot’s partnership ecosystem by developing, providing, and maintaining hands-on expertise in our technical integrations.
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Proficient in Power BI Desktop, with extensive hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, covering design, development, deployment, data engineering, and data management projects and practices.
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Analysis of Li metal morphology and SEI chemical composition in relationship with its cycling coulombic efficiency, with hands-on experiences on material analysis and electrochemistry techniques for battery research.
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Our team is deeply hands-on, highly technical, and prides itself in being battle hardened, lead-from-the-front technology thought leaders. Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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2+ years of hands-on experience with Acumatica support, or customization/programming, or functional/implementation consultant experience with Acumatica ERP. Offer technical guidance to other team members and stakeholders on Acumatica-related matters.
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Hands-on experience in Infrastructure-as-Code and Configuration management tools and technologies: Terraform, Kubernetes, and Docker. Instilling Trust: Integrate DevOps/SRE practices on the data team by solving for performance, monitoring, and alerting.
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Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. Quantitative Development team is part of Asset Management s Quantitative Research & Investment Technology group that partners with the investment teams in Fidelity Asset Management Solutions on various projects including portfolio construction, risk management, and alpha research.
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Scientific training and hands-on experience with various cell-based and molecular assays, including but not limited to 2D and /3D cell culture, cell-based potency assay, ELISA, western, qPCR, RT-qPCR, and DNA/RNA/protein extraction from cells and animal (including NHP) tissues.
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5+ years of hands-on experience with ServiceNow ITAM, ITOM and/or ITSM. Hands on experience creating and maintaining API’s and data integration processes between ServiceNow and other services.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Candidate needs to have experience doing solution architecture on Azure.
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Hands-on experience with gene and cell therapy test methodologies including cell culture, Flow Cytometry, ELISA, MSD, ddPCR, and cell-based assays. Technical Lead will perform testing and analysis per the established test method, ensure the timely and accurate review and reporting of data to the submitting group, train Testing Core analysts on new assays as they become available, monitor control charts and assay performance, escalating any issues to promptly to management.
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Lead with hands-on support in commercial cell line development contract campaigns and single-cell assay development. Provide crucial hands-on support to internal R&D efforts, including development of novel and customized single-cell assays, analytics, and more.
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They remain hands-on, produce technology directly, and are able to dive deep into technical details. Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
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hands on jobs Title: technical lead Company: Cognizant North America in Cambridge, MA
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