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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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AWS Cloud Engineer(Need ex Delta Airlines Candidate) In-depth knowledge of AWS services, including EC2, S3, RDS, VPC, IAM, Lambda, and CloudWatch. Proven experience in designing, deploying, and managing AWS cloud environments.
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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. Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Leverage AWS services (e.g., Amazon S3, RDS, Redshift, Lambda, Glue), and GCP to build and maintain a highly efficient data infrastructure. Strong experience with AWS cloud services related to data storage, processing, and analytics.
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Expertise with AWS cloud platform technologies such as API Gateway, Lambda, RDS, EC2, S3, ELB, VPN, CloudWatch, SQS, SES, S3, Cognito, Cloud Front, Cloud Watch, etc.
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Understanding on OLTP, Data Lake and Lakehouse technologies that may include knowledge of S3, AWS Glue, DeltaLake or DataBricks. Comfortable with DevOps tools like AWS Cloud Formation/Terraform, Docker and Git for CI/CD development.
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Experienced with AWS cloud technologies (EKS, Fargate, Lambda, S3,RDS, terraform). Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka.
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Deploying and provisioning in an production environment AWS resources including IaaS: EC2, S3, RDS, EBS, ELB, IAM, Security Groups, Cloud Watch, VPC, Route53, Subnets, Routing Tables, Internet Gateways, certificates, autoscaling groups, PaaS services: EKS, ECR, ECS, Fargate, Code Deploy, Code Commit, and other SaaS services.
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Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA (OpenShift). This position is for an AWS Cloud Engineer who will support and complete the tasks necessary to design and implement cloud solutions for DTMB agency services supporting MDHHS. The resource will be pivotal in designing, executing, and managing our cloud projects to ensure scalability, reliability, and security.
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Cloud based tools/solutions including AWS, S3, Databricks, Snowflake, SQL, Python. Your skills and experience will include S3, Databricks, Snowflake, SQL, and Python. You will leverage your ability to design, build and deploy data solutions using cloud based compute and warehouse tools that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Manage cloud-based data solutionsutilizing AWS services like EC2, S3, IAM, SQS, SNS, Lambda, and Step Functions. Certified in AWS technologies withhands-on experience in EC2, S3, Lambda, and Step Functions.
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Experience with Infrastructure as Code (IAC) and cloud-based technologies (AWS, Terraform, Kubernetes) Experience with AWS services (KMS, VPC, LBs, IAM Roles, Firewall, Security Groups, S3,EC2, SQS, SNS, ElastiCache, Workspaces, RDS.
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