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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Skilled and experienced Databricks Architect with expertise in working with Databricks on the AWS cloud platform. Experience in implementing data solutions on AWS cloud using cloud storage, compute, and network resources.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Technical proficiency with current email marketing technology (ie: Salesforce Marketing Cloud, Pardot, Marketo) and use of CRM (prior use of Salesforce and Marketing Cloud and/or Exact Target is strongly desired.
$68,100 - $111,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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May be asked to develop, test, and implement reports, dashboards, and analytics solutions primarily utilizing Epic Cogito Data and Analytic Platform, Snowflake, and SQL Server. Create and edit Stored Procedures, Views, Functions and Queries on SQL Server to pull require data for reporting purposes using SQL Server Management Studio.
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Advanced experience in programming tools such as SAS, R, PL/SQL, Perl, Python, etc. Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.
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As a Cloud and Data Engineer, you will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&ED units across Novo Nordisk, both on-premises and in the cloud.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and 8+ years of related work experience Experience with Agile Development Methodologies (E.g. scrum, SAFe) Extensive Experience with Windows & Windows Server 2012 r2+ Experience with programming languages (E.g. Python, Java, Ruby, Bash, C.
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As an Enterprise AI Infrastructure Field Solution Architect, you will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Understanding of Operational Change Management practices and working knowledge of network routing and switching, firewall policies and ACLs, server and OS administration, leased line connectivity, and telecoms vendor management.
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Strong proficiency in database management (SQL) and database technologies (e.g., MySQL, PostgreSQL, MongoDB). Knowledge of cloud computing platforms (e.g., Azure, AWS) and DevOps practices.
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We’re all about solving climate change through fusion energy, one stellarator at a time. Type One Energy applies proven advanced manufacturing methods, modern computational physics and high-field superconducting magnets to develop its optimized stellarator fusion energy system.
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