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This includes understanding the business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact for the customer.
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Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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BASIC PURPOSE: Leverages proven Azure/AWS/Snowflake Cloud skills based around the design and development of multiple data pipelines going between legacy on premise and cloud environments.
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Builds highly scalable and extensible data marts and data models to support Data Science and other internal customers on Cloud. Proficiency in developing Complex Data Pipelines, ETLs and Workflows on Cloud Platform optimized for High Volume of Health Care data.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency with cloud services (e.g.: OpenShift, Azure, AWS), modern JS frameworks (e.g.: React, Angular, NodeJS), SQL and NoSQL DBMS (e.g.: SQL Server, Postgresql, Mysql, Redis, MongoDB), Object-oriented development (e.g.: Java, Node.js, Go, Rust or.
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The Science team at AWS Bedrock builds science foundations of Bedrock, which is a fully managed service that makes high-performing foundation models available for use through a unified API. We are adamant about continuously learning state-of-the-art NLP/ML/LLM technology and exploring creative ways to delight our customers.
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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc 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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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Work collaboratively with user experience designers, platform engineers, product owners, solution architects, and business analysts, the Cloud Applications Full Stack Developer will design, build, test, and deploy high-value, operationally resilient software products on the AWS cloud platform that satisfy functional and non-functional requirements.
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Leverage AWS cloud services for data storage, processing, and analytics, optimizing cost and performance with CloudFormation and Jenkins. Proven experience with AWS cloud services for data storage, processing, and analytics.
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learning on aws cloud jobs Title: data engineer Company: Grotech Search
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