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Senior AWS Big Data Platform Administrator

Iconma

 

Saint Louis, MO, USA

Posted On: 30+ days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: AWS Big Data Engineer
Tenure: No Preference/Any
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Description

Responsibilities:
Cloud & Infrastructure (AWS)

  • Design, deploy, and manage scalable, secure, and highly available infrastructure on AWS.
  • Administer core AWS services: EC2, S3, EMR, EKS, IAM, VPC, CloudWatch, Lambda.
  • Implement automated infrastructure provisioning using Infrastructure as Code (Terraform/CloudFormation).
  • Optimize cost, performance, and reliability of cloud environments.
  • Develop disaster recovery and backup strategies.

Big Data Platform Administration (Hadoop)

  • Install, configure, tune, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark).
  • Monitor cluster health, performance, and capacity planning.
  • Troubleshoot cluster issues and ensure high availability using HA configurations (NameNode HA, etc.).
  • Manage data ingestion and processing workflows.

Streaming Platform Administration (Kafka)

  • Install, configure, and manage Apache Kafka clusters.
  • Ensure high throughput, low latency, and fault-tolerant streaming systems.
  • Manage topics, partitions, brokers, and retention policies.
  • Perform Kafka cluster scaling, upgrades, and performance tuning.
  • Implement monitoring using tools like Prometheus, Grafana, or Confluent Control Center.

System Operations & Monitoring

  • Implement monitoring, logging, and alerting for all systems.
  • Conduct root cause analysis and performance tuning.
  • Ensure system security, access controls, and compliance standards.
  • Maintain detailed documentation and operational runbooks.

Automation & DevOps

  • Build CI/CD pipelines for infrastructure and platform deployments.
  • Automate routine administrative tasks using scripting (Python, Shell, etc.).
  • Collaborate with DevOps and engineering teams for platform improvements.


Requirements:

  • Minimum 10+ years of experience in system administration, with at least 5+ years in big data and cloud environments.
  • Proven experience managing large-scale Hadoop clusters and Kafka environments.
  • Strong hands-on experience with AWS cloud platform.
  • Agentic AI experience
  • AWS services: AWS Administration, EC2, S3, EMR, IAM, VPC, CloudWatch, Lambda
  • Big Data : Administration, Hadoop, HDFS, Hive, Spark,
  • Kafka Administration


 

Education

Any Graduate

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