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As experience increases, ECS will encourage and aid technicians in increasing level of competence and skills through internal training programs and external programs of certification provided by ACI, ASNT, AWS, ICC, MARTCP, NICET, NRCA, IIBEC, State DOT, WACEL and others, as appropriate.
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Experience with containerization (Docker, Kubernetes, AWS EKS, AWS ECS, Fargate) AWS or other Cloud Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps) 3+ years web application development experience (HTML, CSS, NodeJS, Angular, React, JavaScript.
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Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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2+ years of experience with Presto or Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Python and Go, 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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Troubleshoot and repair aircraft hydraulic-mechanical systems to the component level, for example, hydraulic system, environmental control system (ECS), anti-ice systems, emergency pneumatic systems, primary/secondary flight control systems, baggage compartment leak rate, and oxygen system.
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Base understanding of cloud serverless solutions (S3, CloudFront, API Gateway, Lambda Functions, ElastiCache, SQS, MQ, RDS) Experience working with cloud deployment languages (CloudFormation, Terraform, Chef, Ansible.
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Minimum of 3 years experience with container technology and subsequent technologies (Docker, Kubernetes, Docker Swarm, Amazon ECS, Azure Service Fabric, Harbour, Helm, Packer, Terraform) Minimum of 3 years experience with container technology and subsequent technologies (Docker, Kubernetes, Docker Swarm, Amazon ECS, Azure Service Fabric, Harbour, Helm, Packer, Terraform.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Strong understanding of container orchestration (Nomad, Kubernetes) At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka.
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Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka) At least 3 years experience with Docker, Terraform or Ansible. 5+ years experience with Docker, Terraform or Ansible.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Python, Django, Flask, FastAPI, AWS, IAM, ECS, EKS, Docker, Kubernetes, Terraform, MLFlow, PostgreSQL, Cloud Engineer, Infrastructure. Implementing AWS services including IAM (Identity and Access Management), ECS (Elastic Container Service), and EKS (Elastic Kubernetes Service.
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ECS is seeking a RF/EW Engineer and Export Policy Analyst to work in our JBAB, Washington, DC office. ECS is a leading mid-sized provider of technology services to the United States Federal Government.
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4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL) 4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL.
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Working knowledge of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), ETL Tools (DBT, Airflow), Data Warehouses (Snowflake, Databricks). Working knowledge of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), ETL Tools (DBT, Airflow), Data Warehouses (Snowflake, Databricks.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!