Data Science Engineer AWS, EKS, Lambda, EBS, EC2, S3, Fargate, IAM

Rockville, MD - USA

Monthly Salary: $ 70 - 90

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Our client is looking for a Data Science Platform Engineer with developer mindset and AWS (Amazon Web Services) experience.

The Platform Engineer will provide system analysis expertise for assigned product(s) in order to ensure that the product meets the needs of the business communities we serve including Market Regulation Member Supervision and Enforcement.

Serve as a subject matter expert for one or more systems.
Recommends and leads implementation of enhancements and updates to the platforms in consultation with our stakeholders
Champion the collaborative resolution of system related issues/defects. Work across the organization to develop solutions that meet business requirements.
Facilitate the flow of information between stakeholders to ensure a common understanding of needs and deliverables.
Facilitate the solution selection/decision making process and provide the necessary information to enable the business unit to make an informed decision.
Support end-user feedback activities such as user acceptance testing and demonstration.

Senior Data Science Platform Engineer

5-7 years of experience

Strong experience in AWS services EKS Lambda EBS EC2 S3 Fargate IAM Network and Security
Strong background in Linux/Unix environments
Strong background with SQL and Spark
Solid experience with Python and Java
Solid experience in Ansible Kubernetes and Docker
Experience with automated build/deploy tools - Jenkins
Familiar with Data science lifecycle stages
Familiar with API and Front-end development for web applications (J2EE AngularJS etc.) and Web servers (Apache httpd Tomcat Nginx)
Demonstrated ability to implement a wide variety of open-source technologies and cloud services
Prior developer experience/personal projects are highly desired.
Good troubleshooting and debugging mindset. Be able to provide immediate workarounds and long-term fix.
Continually look for ways to innovate and improve testing process to gain efficiencies.
Effectively communicate with users and project stakeholders in oral and written formats.
Be able to work independently and a self-learner.
AWS and ML certifications are plus
Other nice to haves are experience working with Machine Learning projects (e.g. Tensorflow Pytorch scikit-learn etc.) and experience managing enterprise data science platforms (using either open source and/or vendor COTS products such MLFlow Dataiku etc.)

Educational Requirements:

Minimum Bachelors in Computer Science or Equivalent

For consideration please submit your resume as a MS Word attachment to

The Consortium

Combining Talent with Technology

Required Experience:

Our client is looking for a Data Science Platform Engineer with developer mindset and AWS (Amazon Web Services) experience.The Platform Engineer will provide system analysis expertise for assigned product(s) in order to ensure that the product meets the needs of the business communities we serve inc...

Our client is looking for a Data Science Platform Engineer with developer mindset and AWS (Amazon Web Services) experience.

The Platform Engineer will provide system analysis expertise for assigned product(s) in order to ensure that the product meets the needs of the business communities we serve including Market Regulation Member Supervision and Enforcement.

Serve as a subject matter expert for one or more systems.
Recommends and leads implementation of enhancements and updates to the platforms in consultation with our stakeholders
Champion the collaborative resolution of system related issues/defects. Work across the organization to develop solutions that meet business requirements.
Facilitate the flow of information between stakeholders to ensure a common understanding of needs and deliverables.
Facilitate the solution selection/decision making process and provide the necessary information to enable the business unit to make an informed decision.
Support end-user feedback activities such as user acceptance testing and demonstration.

Senior Data Science Platform Engineer

5-7 years of experience

Strong experience in AWS services EKS Lambda EBS EC2 S3 Fargate IAM Network and Security
Strong background in Linux/Unix environments
Strong background with SQL and Spark
Solid experience with Python and Java
Solid experience in Ansible Kubernetes and Docker
Experience with automated build/deploy tools - Jenkins
Familiar with Data science lifecycle stages
Familiar with API and Front-end development for web applications (J2EE AngularJS etc.) and Web servers (Apache httpd Tomcat Nginx)
Demonstrated ability to implement a wide variety of open-source technologies and cloud services
Prior developer experience/personal projects are highly desired.
Good troubleshooting and debugging mindset. Be able to provide immediate workarounds and long-term fix.
Continually look for ways to innovate and improve testing process to gain efficiencies.
Effectively communicate with users and project stakeholders in oral and written formats.
Be able to work independently and a self-learner.
AWS and ML certifications are plus
Other nice to haves are experience working with Machine Learning projects (e.g. Tensorflow Pytorch scikit-learn etc.) and experience managing enterprise data science platforms (using either open source and/or vendor COTS products such MLFlow Dataiku etc.)

Educational Requirements:

Minimum Bachelors in Computer Science or Equivalent

For consideration please submit your resume as a MS Word attachment to

The Consortium

Combining Talent with Technology

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

The Consortium

The Consortium is an Information Technology Consulting Company serving Maryland, Washington, DC and Northern Virginia clients in the Technology Industry.

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