Overview
0.0
Full Time
Contract - W2
Skills
Data Lake
Analytics
Software Design
Apache Kafka
Cloud Computing
Network
Data Analysis
DevOps
Data Modeling
Data Storage
Extract
Transform
Load
Reporting
FOCUS
Streaming
Amazon EC2
Amazon S3
Terraform
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Scripting
Python
Bash
Problem Solving
Conflict Resolution
Communication
Collaboration
Cyber Security
SIEM
Microsoft
Management
Data Security
Regulatory Compliance
Amazon Web Services
Job Details
Role: AWS Data DevOps Engineer
Location: Remote
Duration: 6+ months contract
Description:
We are seeking an experienced Sr. CyberSec Cloud Engineer to support the Cyber Analytics Platform (CAP). You will play a critical role in designing, implementing and managing data solutions of a large-scale, multi-region data lake and analytics platform with the objective to empower the corporation to efficiently identify, detect, investigate, and respond to cyber threats.
Key Responsibilities:
- Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
- Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
- Monitor and troubleshoot failure or performance issues in data solutions.
Requirements:
- Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
- Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop
effective data ingestion, data analytics and reporting solutions
- Monitor and troubleshoot failure or performance issues in data solutions.
Qualifications:
- Bachelors degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
- Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.
- Strong experience in data ingestion, data modeling, data storage, ETL, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
- Experience with CI/CD tools and practices.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Strong scripting skills in languages such as Python, Bash, or similar.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work effectively in a team.
Preferred Qualifications:
- Experience in cybersecurity domain.
- Experience with SIEM solutions, such as Microsoft Sentinel
- Knowledge in managing data security, compliance, and monitoring using AWS services (KMS, IAM, CloudWatch, etc.)
--
Thanks & Regards,
Pallavi Reddy| Technical Recruiter
Thoughtwave Software and Solutions
Desk: , EXTN:167
Email:
Location: Remote
Duration: 6+ months contract
Description:
We are seeking an experienced Sr. CyberSec Cloud Engineer to support the Cyber Analytics Platform (CAP). You will play a critical role in designing, implementing and managing data solutions of a large-scale, multi-region data lake and analytics platform with the objective to empower the corporation to efficiently identify, detect, investigate, and respond to cyber threats.
Key Responsibilities:
- Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
- Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
- Monitor and troubleshoot failure or performance issues in data solutions.
Requirements:
- Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
- Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop
effective data ingestion, data analytics and reporting solutions
- Monitor and troubleshoot failure or performance issues in data solutions.
Qualifications:
- Bachelors degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
- Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.
- Strong experience in data ingestion, data modeling, data storage, ETL, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
- Experience with CI/CD tools and practices.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Strong scripting skills in languages such as Python, Bash, or similar.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work effectively in a team.
Preferred Qualifications:
- Experience in cybersecurity domain.
- Experience with SIEM solutions, such as Microsoft Sentinel
- Knowledge in managing data security, compliance, and monitoring using AWS services (KMS, IAM, CloudWatch, etc.)
--
Thanks & Regards,
Pallavi Reddy| Technical Recruiter
Thoughtwave Software and Solutions
Desk: , EXTN:167
Email:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.