Location: St. Louis, MO (Onsite)
W2 Position
| Name | Required |
| Hadoop Administration | No |
Role Overview
We are seeking a highly experienced Senior Big Data / AWS Administrator with 10+ years of hands-on experience in managing large-scale distributed systems. The ideal candidate will have deep expertise in AWS cloud infrastructure, Hadoop ecosystem, and Kafka administration, ensuring high availability, scalability, and performance of enterprise data platforms.
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Key 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.
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Required Skills & Qualifications
Experience
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
Technical Skills
AWS services: AWS Administration, EC2, S3, EMR, IAM, VPC, CloudWatch, Lambda
Big Data : Administration, Hadoop, HDFS, Hive, Spark,
Kafka Administration
Years of Experience: 14.00 Years of Experience
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