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Proficiency in data analysis tools (e.g., R, Python, SQL) and data visualization tools (e.g., Tableau, Power BI) Experience with cloud-based data platforms, preferred (e.g., AWS, Google Cloud, Azure.
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The ideal candidate will have strong expertise in testing ETL processes using tools such as Power BI, SQL Server, Azure, and Snowflake. Utilize Power BI for data visualization and reporting to validate ETL results.
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Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$128,000 - $171,175 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The Cloud Application Engineer will support Research, Discovery and Development activities on AWS, Azure and leverage tools and frameworks such as Docker, Kubernetes and Terraform to build and deploy scalable and resilient applications.
$114,375 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Including, Kubernetes, Microservices, Cloud Data bases MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js. Develop a deep understanding of the client’s workflows, APIs, Integrations and Cloud Databases and Data requirements.
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Experience performing analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred.
$70,000 - $100,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As your tech partner, we help engineer your company’s future with cloud and data. Working experience of AWS Cloud, Kubernetes, Microservices, Rest APIs, MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js.
$160,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Lead Discovery & Optimization Group leverages technology, innovation, and broad scientific knowledge to deliver comprehensive in vitro data packages to support all phases of early drug discovery at BMS. We are seeking a highly motivated and innovative scientist to drive the development and implementation of cell-based assays supporting multiple therapeutic areas.
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Experience with microservices architecture and cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
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Prior experience in Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing as it related to Health Plans; Provide solution designs in the area of Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing.
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Examples are data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, real-time data pipelines, data standards, regulatory compliance and enterprise architecture frameworks.
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Familiarity with cloud platforms, particularly Microsoft Azure, and hands on experience with Snowflake data warehouse is a plus. The successful candidate will play a crucial role in ensuring the quality and reliability of our software products, with a focus on designing, developing and implementing automated solutions to ensure the quality and reliability of our software, testing Azure-based applications, Snowflake data warehouse, and ETL backend systems.
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These activities include the evaluation, piloting, as well as use of novel, computer-assisted tools and methodologies for signal detection and analysis of internal company safety data, international regulatory safety databases, and other data sources, e.g., claims and electronic medical records.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our QSP & PBPK team has established expertise, impact, and tools, and we are looking for a highly motivated scientist to develop and apply Quantitative Systems Pharmacology (QSP) models with a primary focus on hematology, oncology, and cell therapy applications to primarily impact clinical development.
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Strong experience with data visualization tools such as [mention specific tools], and the ability to translate complex data into easily understandable visuals. Create visually compelling reports and dashboards using data visualization tools to effectively communicate insights to stakeholders.
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