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Senior Big Data​/AWS Administrator- W2

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Saransh Inc
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AWS, Systems Administrator
Job Description & How to Apply Below
Position: Senior Big Data / AWS Administrator- Only W2
Location: St. Louis

Position: Senior Big Data / AWS Administrator

Location: St. Louis, MO (Onsite)

Employment Type: W2 Position

Name:

Required: Hadoop Administration

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.

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, Cloud Watch, Lambda.
    • Implement automated infrastructure provisioning using Infrastructure as Code (Terraform/Cloud Formation).
    • 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 (Name Node 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 & Dev Ops
    • Build CI/CD pipelines for infrastructure and platform deployments.
    • Automate routine administrative tasks using scripting (Python, Shell, etc.).
    • Collaborate with Dev Ops and engineering teams for platform improvements.
Experience

Required Skills & Qualifications

  • 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, Cloud Watch, Lambda
  • Big Data:
    Administration, Hadoop, HDFS, Hive, Spark
  • Kafka Administration

Years of

Experience:

14.00 Years of Experience

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Position Requirements
10+ Years work experience
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