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Experience with SQL databases, data lakes, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud). In-depth knowledge of Informatica, Python programming, and dbt (data build tool.
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Must have knowledge in Google Big Query and their Data Warehousing stack (Cloud Storage, Function, Composer, and others). Familiarity with cloud-based data warehousing solutions in Google Cloud.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Excellent technical skills and knowledge of Google Cloud technologies, with proven experience in coding, application design, and deployment on a large scale. Experience with Google Cloud Platform services such as App Engine, Cloud SQL, and Cloud Storage.
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Configuring and managing cloud rendering solutions like Deadline on AWS or Google Cloud. Python programming of standalone tools as well as embedded in applications like Houdini, Maya, and Nuke. Developing apps for macOS and/or iOS using Apple frameworks and technologies.
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Proven experience as a Data Architect or similar role, with expertise in data modeling, ETL design, and data integration. Strong understanding of data warehousing concepts, data governance principles, and data management best practices.
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Qualifications:Experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), and monitoring tools. Google Cloud Certifications, AWS certification, and experience with Kubernetes clusters.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Proficient in SQL, Tableau, Excel, Python, R, Salesforce Marketing Cloud, Google Analytics. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
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Proven experience in a leadership role overseeing data architectures and warehousing platforms in a cloud environment, preferred Google Cloud. Experience with technologies such as SQL, Python, ETL processes, and data integration tools.
$121,400 - $206,400 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and parallel computing frameworks, genomic databases, annotation resources, pathway analysis tools, regulatory genomics, epigenetics, and chromatin biology is desired.
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Expertise in cloud platforms in AWS is required or other Cloud Platform (Google Cloud or Microsoft Azure). Proficiency in programming languages such as Python, Java, or Scala, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn.
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Preferred candidates will demonstrate (1) a proven track record of developing and/or implementing high-throughput genomics pipelines (2) a strong proficiency in programming languages such as Python, R, or Perl (3) expertise in next-generation sequencing (NGS) data analysis (4) experience with statistical analysis, machine learning, and data visualization techniques (5) excellent communication skills and ability to collaborate effectively with interdisciplinary teams.
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Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of scripting languages like Python, Ruby, or PowerShell. Your expertise in cloud technologies, automation, and monitoring will contribute to the success of our products and services.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop). Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Extensive knowledge of Python programming and its application in test automation. 5+ years of experience in Test Automation with a focus on Python.
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