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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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On various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB). In this role, you will be responsible for the administration, maintenance, and optimization of our cloud-based databases on various platforms, including Snowflake, Redshift, AWS, GCP, and Azure.
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Hands-on experience with Kubernetes (e.g., EKS, GKS, AKS, or OpenSource) on public clouds (AWS, GCP) at scale. Experience with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker), or Azure Machine Learning, MLFlow, Kubeflow, etc.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Strong experience in architectural principles in the areas of on premise, cloud-native/hybrid-multi cloud architectures, container orchestration (kubernetes/OpenShift), microservices and operational best practices across one or more cloud offering Azure, AWS, GCPExperience supporting Azure cloud deployments is highly desired.
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Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake) You will be part of a team that is supporting cloud Data Warehouse and Data Lake environments implemented on AWS or Azure for some of Epsilon's most prominent Database Marketing clients.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Being a domain expert on data modeling, data pipelines, data quality and data warehousing.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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Hands on, demonstrable experience delivering technical solutions in the AWS space with a minimum of 5 years experience as an AWS Architect. The responsibilities of a Cloud Platform Principal Engineer/Architect is to focus on assessing, supporting, developing and implementing high-quality information technology architecture and establishing technology governance and standards.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law.
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Act as a cloud evangelist within the organization, promoting the benefits of AWS solutions. Optimize cloud resources for improved performance and cost efficiency, utilizing tools like AWS Cost Explorer and Trusted Advisor.
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Strong understanding of cloud computing technologies and infrastructure, with a deep focus on AWS services and security features. We are seeking a seasoned Principal Cloud Security Engineer to lead our efforts in securing our cloud infrastructure, with a preference for candidates who have extensive experience with Amazon Web Services (AWS) and a background in the financial sector.
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Monitor, analyze, and optimize cloud resources using AWS CloudWatch and other performance tools. Successful candidate will make recommendations to leadership on advancing our cloud strategy, technology adoption plans, application design and application observability with core objective of delivering best in class scalable solutions.
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Proven track record of designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Experience with enterprise migrations from on-prem equipment to cloud environments.
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OneMain Financial is seeking an experienced Cloud Platform Principal Engineer/Architect to manage the integration of public and private cloud infrastructure. Deep understanding of network architectures and data services for cloud environments.
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hands on aws cloud jobs Title: big data engineer Company: Accenture in Raleigh, West Virginia
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