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Certification in GCP (e.g., Professional Cloud Architect, Professional Machine Learning Engineer). Cloud Architecture: In-depth knowledge of cloud architecture and services, particularly GCP. Experience with infrastructure as code (e.g., Terraform) and CI/CD pipelines.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience in Real Time Data Ingestion using GCP PubSub, Kafka, Spark or similar.
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Experience with cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc. Experience with at least one of the following cloud platforms: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP.
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Design, configure, and manage Data Lakes in GCP, utilizing services like Google Cloud Storage, BigQuery, and Dataproc, to support diverse data types and formats for scalable storage, processing, and analytics.
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As a Sr. Big Data Engineer , you will design robust, secure, and maintainable data solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities across our organization.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Looking for a Sr AWS Cloud Engineer who is a thought leader to assist in a large-sale migration to AWS and GCP. You will play a key role in migrating and transforming legacy solutions to the cloud.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Responsibilities include automation and scaling of Big Data and Analytics tech stacks on Cloud infrastructure, building CI/CD pipelines, setting up monitoring and alerting for production infrastructure, and keeping our tech stacks up to date.
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Conocimientos de SQL.● Conocimiento en tecnologías Cloud (AWS, Azure, GCP, etc)● Conocimientos en Docker , Kubernetes Engine, Dataflow, Composer, Bigquery. ● Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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Basic familiarity with AWS, Azure, and Google Cloud Platform (GCP) cloud platforms; ability to navigate and understand fundamental tools and concepts within these environments. As a member of our Cloud Enablement & Acceleration FinOps team, you will design, implement, and manage robust data pipelines to develop dashboards that deliver actionable insights into our infrastructure costs and utilization patterns.
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cloud engineer gcp big data jobs Title: engineer Company: Verizon
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