Senior Big Data / AWS Administrator

TechDigital

  • St. Louis, MO
  • 16 days ago
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    Skills

    • AWS Lambdaunmatched
    • Access Controlunmatched
    • Administrative Skillsunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Apache HBaseunmatched
    • Apache Hadoopunmatched
    • Apache Hiveunmatched
    • Apache Kafkaunmatched
    • Apache Sparkunmatched
    • Artificial Intelligence (AI)unmatched
    • Big Dataunmatched
    • Brokerageunmatched
    • Capacity and Performance Managementunmatched
    • Cloud Computingunmatched
    • Computer Securityunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cost Controlunmatched
    • Data Managementunmatched
    • Data Recoveryunmatched
    • DevOpsunmatched
    • Disaster Recoveryunmatched
    • Distributed Computingunmatched
    • Documentationunmatched
    • Ecosystemsunmatched
    • Electronic Medical Recordsunmatched
    • HDFS (Hadoop Distributed File System)unmatched
    • High Availabilityunmatched
    • High Throughputunmatched
    • Large-Scale Systemsunmatched
    • Performance Tuning/Optimizationunmatched
    • Python Programming/Scripting Languageunmatched
    • Regulatory Complianceunmatched
    • Root Cause Analysisunmatched
    • System Operationsunmatched
    • Systems Administration/Managementunmatched
    • Testingunmatched
    • Unix Shell Programmingunmatched

    Description

    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.
    ________________________________________
    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

    Numbers & Facts

    LocationSt. Louis, MO
    IndustryOther/Not Classified
    Company Size100 to 499 employees

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