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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Must have hands on Snowflake, AWS and Airflow.
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This is a hands-on cloud software developer/engineering position and requires the ability to proficiently and predictably build and deploy custom applications in AWS cloud.
$172,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Proficiency in using Cloud Platforms such as GCP/Azure/AWS. Knowledge of tools like Composer, Kafka, PySpark and SQL. 6+ years of building cloud native analytical products in GCP, Azure or AWS.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Uses coding skills to enable multiple sources to move data through Snowflake, MDM, RDS, and other cloud data environments using tools such as Spark, Striim, Kafka, Snowpipe, Azure Data factory, AWS Glue, Matillion, FiveTran and more.
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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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Daily Tasks: Skills in nutshellDrupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia CloudAutoscaling groups, Mem Cache, Secrets Manager, CloudFront, Code Deploy, Code Pipeline, VPC, CloudFormation, IAM,Secuirty Groups, S3, CloudWatch, EFS, WebSphere Portal,Ansible, Apache, Ngnix, NodeJS, Varnish, Jenkins, Terraform, LSyncD, Bash Scripting, Splunk.
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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.
$136,000Full-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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Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and experience with cloud security best practices. Docker, Kubernetes, Terraform, Gitlab, Jenkins, PostgreSQL, AWS, Azure, NPM, JSON, JSON Schema, Markdown, RxJS, HTML, CSS, Git, GitHub, and Unix/Linux.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Your primary focus will be on leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS government cloud.
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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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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
learning hands aws cloud jobs Title: data engineer Company: Grotech Search
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