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As a Senior Data Engineer, you will play a vital role in our Data Engineering team, responsible for the development and maintenance of our Enterprise Data Platform, which encompasses a Serverless Data Lake, a Cloud Data Warehouse on AWS, and core data/application pipelines.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Manage and maintain cloud infrastructure on platforms such as AWS, Azure, or Google Cloud. Experience with configuring, deploying, and operating public cloud services (e.g., Azure, AWS, GCP.
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5+ years of experience with cloud data technologies including Snowflake, AWS, spark, Apache Airflow. Be responsible for cloud cost and improving efficiency. Experience with Databricks and BigQuery preferred.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 8+ years of professional experience in any one of the Cloud providers such as AWS, Azure or GCP.
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Experience with big data technologies and cloud platforms like AWS, Azure, or Google Cloud Platform is a plus. Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, and deep learning architectures.
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1+ years of experience in cloud-native environments such as GCP, AWS, or Azure. Python, Flask, React with Remix and Chakra UI, Vue.js, GCP, Elasticsearch, Redis, SaaS, CloudSQL/MySQL, Terraform, OpenTelemetry, Docker, Kubernetes, Splunk, SignalFx, Sentry, New Relic.
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Experience driving enterprise infrastructure automation with a focus on cloud infrastructure and proficiency with Infrastructure as Code (IAC) tools such as Cloudformation, Terraform, and Ansible.
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CoStar Group serves up over 1.8PB of data from more than 800 SQL Servers that span four On-Prem data centers, two continents, and six different time zones and we are now expanding to AWS Cloud solution rapidly and starting to support Aurora MySQL, PostgreSQL, DynamoDB, Databricks and MongoDB Atlas and other DB engines on the cloud.
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Public Cloud Security (AWS, Microsoft Azure, Google Cloud, etc.) Box is the market leader for Cloud Content Management. For details on how we protect your information when you apply, please see our cloud.
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Strong proficiency with AWS cloud infrastructure services and the integration of these services, Infrastructure as Code (Terraform, CloudFormation) principles, CI/CD methodologies, and containerization (Docker.
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Infrastructure: AWS (Kinesis, Serverless, RDS, EKS), Kubernetes, Docker, Postgres, IoT Edge. The team designs and delivers modern cloud infrastructure, edge compute environments, delivery automation, identity and access management, system continuity and monitoring.
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Exposure to AWS cloud data pipeline tools such as Managed Airflow and Glue. + 5+ years of experience building cloud scalable and high-performance data lake / data warehouse solutions using AWS products - S3, Athena, Glue, and EMR.
$136,038 - $199,870 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The role expects you to define your territory, strategies and then lead local execution and in alignment to company strategies and tactics with its Cloud Provider partnerships including, but not limited to, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Accenture and IBM.
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Implementation and administration of cloud platform and SaaS services: GCP, AWS, Azure, Google Workspace, Okta, Azure AD. Cloud and SaaS technologies: GCP, Azure, AWS, Google Workspace.
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Cloud computing represents a fundamental shift in how businesses think about managing their information needs. The ideal candidate is excited about the incredible opportunity that cloud computing represents, and is passionate about delivering high quality services in a hyper-growth environment where priorities can shift fast.
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