Aws Big Data Administrator
Caderno Nacional
Aws Big Data Administrator - Detalhes da Vaga. ● The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment. ●We are looking for a AWS Big Data Administrator, who wants to learn and transform his career. ●In this role you willEMR Cluster Administration- Provision, configure, and manage Amazon EMR clusters. ●- Optimize cluster sizing, auto-scaling, and performance. ●- Manage Hadoop ecosystem components including HDFS, YARN, Hive, and Spark. ●Big Data Platform Operations- Install, configure, and upgrade big data platform tools. ●- Monitor cluster health and troubleshoot failures. ●- Manage data ingestion pipelines including Kafka, Kinesis, and AWS Glue. ●Security, Compliance & IAM- Implement EMR security using IAM, Kerberos, KMS, and VPC configurations. ●- Ensure compliance with organizational standards. ●Automation & DevOps- Automate EMR provisioning using CloudFormation, CDK, or Terraform. ●- Build CI/CD pipelines using AWS tools or Jenkins. ●- Implement cost optimization strategies. ●Monitoring & Troubleshooting- Use CloudWatch, CloudTrail, and the EMR Console for diagnostics and monitoring. ●- Tune Spark and Hive jobs to improve performance. ●Collaboration & Support- Work closely with data engineers and cloud teams. ●- Provide production support and on-call assistance. ●Mandatory Skills- Expertise with AWS EMR and the Hadoop ecosystem. ●- Strong Linux administration and scripting skills (Bash, Python). ●- Familiarity with AWS services such as S3, EC2, IAM, and CloudWatch. ●- Experience with Terraform, CloudFormation, and DevOps tools. ●- Experience as an AWS Big Data Platform Administrator supporting EMR, HBase, Glue, PySpark, and Scala environments. ●- Terraform knowledge. ●- Platform administration experience (not a developer profile). ●Desirable Skills- AWS Certifications (Solutions Architect, Big Data, Data Engineer). ●- Experience with EMR Serverless. ●- Experience with Docker. ●- Experience with Kubernetes. ●. Requisitos para participar do processo. ● . O que oferecemos.
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