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Experience working with standard programming tools such as SQL, GIT, and Python, with a strong preference towards familiarity with Google Cloud environment including BigQuery.
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Google Cloud Platform (BigQuery, PubSub, Dataflow, Vertex AI), Airflow, Terraform, Spark, Scala, Python, Looker, Dataiku, Kubernetes, SQL, Git. Fort de partenariats stratégiques signés avec Google Cloud (stack data full GCP), Renault Digital est à la recherche d’un(e) Data Engineer au sein du Pôle Architecture et Data pour mettre en place les fondations de la plateforme IA répondant à de nouveaux besoins métiers.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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We code primarily in Kotlin, Python, Java, and JavaScript and make use of many frameworks, including Dataflow, Cloud AI Platform, KubeFlow, Spring, and React. Our technology runs on Google Cloud and is configured with Kubernetes, leveraging various services in that environment.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Implement and configure GCP services, including Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, and BigQuery. Sklled in Google Cloud Platform (GCP), you will be responsible for designing, implementing, and maintaining various cloud-based solutions for our federal customer.
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Good Knowledge of GCP services mainly Bigquery, Dataflow, DataPrep, DataProc, DataFusion, Pub/Sub, Cloud Composer. Some coding experience on programming language - Python or Java or NodeJs ( required for creation of data pipelineJAV.
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Knowledge of Google Cloud Technologies (Cloud Run, DataProc, BigQuery). Google Cloud Certification. Minimum 2 years of strong development experience in at least one of the following technologies: Python (preferred) or Java on a Public Cloud Platform.
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Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional), Automic/Airflow, BigQuery, Kafka, API, Druid. Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.
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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. Industry/SectorNot ApplicableSpecialismPlatform Engineering & ArchitectureManagement LevelSenior ManagerJob Description & SummaryA 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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Excellent with Java/Python and Google Cloud SDK, API Scripting. Strong understanding of Dataflow, BigQuery, Cloud SQL, ETL with GCP (must have), Airflow & Composer. Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
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Our data storage layer includes BigQuery, BigTable, and Postgres. Our engineers have worked at large companies like Google and Amazon, high frequency trading companies like Two Sigma and Jump Trading, and a variety of smaller startups, including successful startup founders.
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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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Js, Python, AWS cloud, Google BigQuery, data science and other latest technologies, you’ll be driving a major transformation within U.S. News. Server-side technologies, such as Python, Java, or NodeJS.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience using the following analytics and reporting tools: Google Cloud Platform (BigQuery), Microsoft Power BI, Microsoft Excel. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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