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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their associated services. Manage cloud infrastructure on platforms like AWS, Azure, or Google Cloud, ensuring cost-effective and scalable solutions.
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Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, with hands-on experience in migrating on-premises data warehouses to the cloud.
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Hands-on expertise in ETL/Data pipeline and data lake platforms like Spark/Hadoop/Databricks/EMR. Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint.
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You have hands-on experience with Google Cloud platform (GCP) by maintaining production applications on that. Our services are running on Google Cloud Platform via Kubernetes.
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Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of security best practices in cloud environments. Azure DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs.
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Experienced in developing applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Hands-on experience with Docker and Kubernetes. This Series A Generative AI start-up is looking for a Senior Software Engineer to work on their platform.
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Cloud Experience: Familiarity with cloud administration on AWS, Google Cloud, and Azure is a plus. Cloud Administration: Assist with cloud administration tasks on AWS, Google Cloud, and Azure as needed.
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Cloud Computing: Hands-on experience with platforms like Google Cloud, Azure, or AWS. Tech Stack/Key Tech: Python, Google Cloud, Azure, AWS, React, TypeScript, HTTP, WebSockets, C.
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Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and cloud-native services. Hands-on experience with Docker, Kubernetes, and other container orchestration tools.
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Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.) Comprehensive knowledge and hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
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Experience with Data Platforms: Hands-on experience with data platforms such as Snowflake, BigQuery, Databricks, and familiarity with ETL/ELT and BI systems. Familiarity with cloud environments such as AWS, Azure, or Google Cloud.
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The Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. GCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok5+ years of hands-on experience of building and operationalizing data processing systems.
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Hands-on experience with at least one major machine learning framework such as TensorFlow or PyTorch. Experience with data processing and ML tools like MLflow, Google AutoML, and Apache Spark.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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hands on google cloud jobs Title: engineer in New York, Norwood, Massachusetts
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