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Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.
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DevOps Engineer (Senior) with skills DevOps Engineering, GIT / GITHUB, Jenkins, AWS - EKS, Azure - AKS, Azure - ARM, AWS - CloudFormation, AWS-Apps, GCP-Apps, Azure-Apps, AWS-Infra, Azure-Infra, Azure DevOps (ADO), AWS DBA for location Poland.
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As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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QA compliance manager, quality assurance, QA, management, GxP, GCP, GLP, GMP, auditing, clinical research, regulatory, inspections, sponsor audits, stakeholder management, process improvement, travel, investigator site audits, TMF audits, QMS, communication, remote, united states, US.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. 6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Experience in crafting and implementing data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP.
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) 4+ years using a cloud-based computing/analytics platform (Preferably in Azure Databricks or similar stacks such as Azure DataFactory, AWS Lambda/Glue, GCP DataFlow, Databricks, etc.
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GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery.
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Keywords: Java, Spring Boot, Microservices, remote, home office, distributed systems, API’s, architecture, GCP, Google Cloud, migration, optimization. Help with regards to the further migration to the cloud and optimized use of GCP (Google Cloud Platform.
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The SSO Study Start-Up Team Lead is supporting the country/OPC SSU strategy and prioritization in close collaboration with SSU/OPC Head and Country/OPC LT to deliver operational excellence of the GDD portfolio in compliance with Novartis processes, ICH/GCP and regulatory requirements.
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Handle Google Cloud Storage inorder to use the storage service efficientlyRole as GCP Architect and SME in multiple projectsRepresent in client meetingsRespond to RFPs providing the solution Arch. Min one year Experience in Architecting applications for Google Cloud platformExperience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTableWork with Google Cloud SQL to handle the user data/ client data.
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gcp job Company: Parexel
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