Technology Lead | Big Data - Hadoop | Hadoop

Job Title: Kafka Admin
Work Location: Saint LouisMO63131
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Contract duration: 12
Target Start Date: 31 Aug 2026
Does this position require Visa independent candidates only? Yes
Interview Process (Is face to face required?) Yes, face to face is mandatory for Interview
**onsite work**

Job Details:

Detailed Job 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.


Key Responsibilities:

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.
Required Skills

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

Interview Process (Is face to face required?)
Yes

Any additional information you would like to share about the project specs/ nature of work

Project Code: CHC WO for CFOBI