Sr. Data DevOps Engineer

Overview

Remote
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 3 Year(s)

Skills

devops
aws
data devops
Cyber Analytics Platform
MSK
Managed Streaming
Apache
Kafka
Infrastructure as Code
scripting
SIEM

Job Details

Looking for Sr. Data DevOps Engineer
Location: Plano, TX

<>Description</>

We are seeking an experienced Sr. Data DevOps 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:

- Bachelor s 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.)

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.