Senior Big Data / AWS Administrator- Only W2

Saransh Inc; St. Louis (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Saransh Inc in St. Louis, MO is seeking a Senior Big Data / AWS Administrator with 10+ years' hands-on experience to manage enterprise data platforms built on AWS, Hadoop, and Kafka.

You will design, deploy, and operate scalable infrastructure, ensure high availability, monitor performance, and automate deployments with Terraform/CloudFormation, CI/CD, and scripting.

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.

Responsibilities

• Design, deploy, and manage scalable, secure, and highly available infrastructure on AWS.
• Install, configure, tune, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark).
• Install, configure, and manage Apache Kafka clusters and ensure high throughput and fault tolerance.
• Build CI/CD pipelines for infrastructure and platform deployments.
• Automate routine tasks using scripting (Python, Shell).
• Collaborate with DevOps and engineering teams to improve the platform.

Skills

Hadoop Administration

AWS Administration

Kafka Administration

Automation scripting

CI/CD automation

Tools

Terraform

CloudFormation

Prometheus

Grafana

Confluent Control Center

Job description

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, 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.

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

Years of Experience: 14.00 Years of Experience