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We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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AWS Data Engineer (Lead) with skills AWS - EKS, AWS - CloudFormation, AWS-Apps, AWS-Infra, AWS DBA, Python, Apache Hive, SQL for location Middle East. Sub Skill(s): AWS - EKS, AWS - CloudFormation, AWS-Apps, AWS-Infra, AWS DBA.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway. 5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
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Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build. Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
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As a member of the Accelerator Systems FPGA team you’ll be responsible for the validation of the hardware and software used by our customers for running accelerators on AWS. You will gain knowledge of how hardware and software in our data centers including technologies such as AWS F1 which is an AWS EC2 instance are used to deploy hardware accelerators in the cloud.
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This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
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This is a hands-on, technical lead role in the Advisory organization that will develop cloud-native services to support LPL’s overall cloud strategy and migration to AWS. Role: AWS Tech Lead.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS) Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) Cloud Infrastructure: AWS Lambda, API Gateway, Terraform.
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Experience working with cloud based data lakes and databases (S3, RDS, AWS Athena, AWS Redshift etc.) Knowledge of at least one ETL/ data transformation framework/ service (AWS Glue, Data Build Tool (dbt.
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We ingest research, data, and customer objectives for product, partner, brand, growth marketing, demand generation, localization and other AWS stakeholder orgs and adapt for the web space. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
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ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, etc. Encourage continued participation in internal and external training programs and certification opportunities provided by organizations such as ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, and others, as appropriate.
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8 years (Minimum 3 years of construction and 5years of Inspection working to AWS CWI or ICC Commercial Building Inspector) Required Certification: AWS CWI or ICC Structure Steel and IC. AISC (American Institute of Steel Construction), Bolting and AWS D.1.
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Develop/ document PQR and WPS for structural steel and pipe under AWS D1.1 & ASME B31.3 1.3. AWS (American Welding Society) D1.1: Structural Welding Code Steel. Support fabrication team in developing weld procedures/specifications in compliance with AWS D1.1 & ASME B31.3.
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aws job Company: Skillz in Austin, TX
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