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# Technology Lead | Big Data - Hadoop | Hadoop

- **Company:** Ipolarity LLC
- **Location:** Des Peres, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Audit Trail, Bash Shell, Big Data, Cloud Computing Security, Continuous Integration, Data Infrastructure, Linux, DevOps, Github, Apache Hadoop, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Red Hat Enterprise Linux, Ansible, Prometheus, Cloudera, Shell Script, Data Streaming, Transport Layer Security, Google Cloud, Cloud Platform System, System Availability, Grafana, Apache Spark, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, AWS Glue, Apache Kafka, CruiseControl, Cloudwatch, Terraform, Splunk, Software Version Control, Docker, Jenkins
- **Published:** September 6, 2026
- **Apply:** https://www.careerjet.com/jobad/us8a23fec3691368753c3a52bc558bd08c

## About the Role

Apache Kafka Administration
KRAFT and MSK
AWS Cloud Services
Linux (RHEL/Rocky Linux)
Shell Scripting and Python
Jenkins, Git, Ansible, Terraform
Docker and Kubernetes
Monitoring Tools (Grafana, Prometheus, Splunk)
Networking, Security, and High Availability Concepts
Performance Tuning and Capacity Planning
Preferred Qualifications:
Bachelor s degree in Computer Science, Information Technology, or related field.
Experience with Cloudera CDP, AWS MSK, Airflow, and Spark.
AWS, GCP, Kafka, or Kubernetes certifications.
Experience supporting large-scale production environments handling petabyte-scale data workloads.
Key Achievements Expected
Maintain platform availability above 99.9%.
Adopt AI-assisted engineering practices to improve operational efficiency, reduce manual effort, and accelerate troubleshooting and documentation.
Automate repetitive operational tasks.
Improve cluster performance and resource utilization.
Ensure secure, scalable, and reliable data platform operations.
Support enterprise data engineering, analytics, and AI/ML workloads efficiently.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Perform infrastructure provisioning and automation using Infrastructure as Code IaC.
Design and maintain CICD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools. Automate infrastructure deployment using Terraform, CloudFormation, and Ansible
Manage source control repositories and release processes. Implement monitoring and alerting solutions using Prometheus, Grafana, Splunk, ELK, or CloudWatch

## Description

Experienced Big Data Administrator responsible for managing, supporting, automating, and optimizing enterprise-scale Hadoop, Kafka, AWS cloud, and DevOps platforms. The role focuses on ensuring high availability, performance, security, scalability, and operational excellence across big data ecosystems while collaborating with development, architecture, and business teams., Kafka Administration
Deploy, configure, and manage Apache Kafka clusters and AWS MSK environments.
Monitor broker health, partitions, replication factors, and consumer lag.
Perform capacity planning and cluster scaling activities.
Manage Kafka security using SSL, SASL, ACLs, and encryption standards.
Troubleshoot producer, consumer, and broker performance issues.
Support Kafka Connect, Schema Registry, Cruise Control, and MirrorMaker implementations.
AWS Cloud Administration
Manage cloud infrastructure services including EC2, S3, IAM, VPC, EBS, CloudWatch, CloudTrail and AWS Glue.
Support AWS Managed Streaming for Kafka (MSK), EMR, Lambda, and Airflow environments.
Implement cloud security best practices and governance controls.
Perform infrastructure provisioning and automation using Infrastructure as Code (IaC).
Monitor cloud resource utilization and optimize operational costs.
DevOps & Automation
Design and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.
Automate infrastructure deployment using Terraform, CloudFormation, and Ansible.
Manage source control repositories and release processes.
Implement monitoring and alerting solutions using Prometheus, Grafana, Splunk, ELK, or CloudWatch.
Support containerization technologies such as Docker and Kubernetes.
Develop automation scripts using Python, Shell, or Bash.
Operations & Support
Provide Level 2 and Level 3 production support.
Participate in on-call support rotations and incident management activities.
Perform root cause analysis (RCA) and implement preventive measures.
Create and maintain operational documentation and standard operating procedures.
Ensure compliance with security, audit, and regulatory requirements.


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