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Manage AWS services such as IAM, EC2, S3, VPC, Lambda, SNS, Cloudwatch, Redshift, RDS, Config, ECS, EKS, ALB, security groups. SMX is seeking a Sr. AWS Cloud Engineer to act as the liaison between the client and operations teams for support and escalations.
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6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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5+ years experience and thorough understanding of AWS (S3, RDS, Elastic Beanstalk, CDK, EC2, VPC, IAM) designing and supporting IT cloud solutions. AWS (RDS, Elastic Beanstalk, CDK, EC2, S3, VPC, IAM.
$65 - $80 an hourFull-timeExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Sr. AWS Cloud Engineer (2197)at SMX(View all jobs) ( Sr. AWS Cloud Engineer. Work with AWS engineers on Kubernetes (EKS), ECS and Docker containers. Drive technical innovation and efficiency in infrastructure operations via automation and orchestration Conduct capacity planning analysis and cloud budget planning.
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Excellent knowledge of Hybrid Cloud Infrastructure – Compute – Amazon Elastic Compute Cloud (EC2), Virtual Machines (VM’s), SQL – Amazon Relational Database Service (AWS RDS) or Azure SQL, Security Groups, Subnets, firewalls etc.
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Knowledge / experience with cloud (AWS preferred) tools and packages such as: Redshift, Glue, RDS, DMS. Hands-on experience with various Python tooling and frameworks (Django/Flask/Pandas/Airflow.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS.
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Or Bash Nice to have: Proficient with AWS managed services EC2 (ELB, AMI, ASG), Route 53, RDS, S3, Secrets Manager, Systems Manager, IAM, VPC, CloudWatch, etc Experience with AWS Lambda, StepFunctions, Fargate, etc.
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Experience with AWS services such as Athena, Glue, DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in full stack systems to create automation tools to support the Card Architecture team aligned with leading standards and practices including tooling solutions for Content Management, SDLC, DevOps, reporting, etc.
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Databases: RDS, SQL, MySQL, Postgres, RedShift, MongoDB, DynamoDB. AWS - ECS, EC2, S3, SNS, SQS, MKS, Batch, Lambda, Cognito, SG, RDS, Cert Manager, Route 53, ALB, Param Store, Config, etc.
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