Job Description :
Title: DevOps Engineer

Location: Middletown, PA

Position: Permanent

Candidate must have strong:
Big Data
Experience with Data Insights and Analytical solutions Analytical application experiences implementing solutions for advance analytics

NEEDS to be able to understand how to deploy large data solutions (Not only developing and configuring tools, but also require to design CI/CD process)
Needs to be able to design CI/CD for Data Science and IoT
Needs to be able to be the broker between Self service team, architects and developers to level set the CI/CD using native services

Duties & Responsibilities

Design and implement build, deployment, and configuration management in a hybrid environment that is distributed across the globe between Cloud and On-Premises
Ensures application solution design meet application performance criteria, security measures, release standards, and ensures application and system stability.
Contribute to maturing the DevOps and SRE practices within client by utilizing methodologies such as CI/CD, Agile, and Acceptance Test Driven Development.
Develop scripts and automate using Perl/Python/Groovy/Java/Bash
Manage CI and CD tools with team
Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
Practice Root Cause Analysis to determine the scope and scale of issue impact. Create epics/stories and construct automation to prevent problem recurrence


Experience/Education Required:

8+ years of DevOps Engineering or similar software engineering role in build automation and continuous deployments
3+ years of DevOps Engineering in Cloud platforms (AWS is preferred)
5+ years of experience in Analytical application configuration, optimization and testing (AWS & Cloudera is preferred
2+ years of experience with AWS tools such as S3, EC2, ECS, EKS, SageMaker, Aurora, RDS, Lambda Functions AMI, ELB, ALB, NLB, VPC, Auto Scaling configurations, DMS, Data Streaming.
Multiple experiences implementing solutions for advance analytics using open source (Cloudera based solutions and AWS based solutions are preferred)
Experience with Linux infrastructures, database SQL, Bigdata Platform, CI/CD tools, scripting such as JavaScript, PHP, Python, Perl, Ruby, Java, Shell scripting

Skills Required:

Designing, build and deploy programs for Big Data Platform, Cloudera Data Science Workbench, Data Streaming, Cloud Computing-AWS Stack, HDFS and Cloudera based Hadoop systems
Ability to collaborate with management, users, contract resources, vendors, and other IT teams
Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
Willing to flex daily work schedule to allow for time-zone differences for global team communications
Strong interpersonal and communication skills

Physical Demands

Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor