Big Data/Machine Learning Engineer
Location: Richmond & McLean,Virginia
Experience: 3-7 years
Track: Consulting
Practice: Data
About Us:
Job Description:
- Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Git and Docker
- Ability to handle multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals.
- Experience working in an agile environment
Basic Qualifications:
- Bachelor's Degree or military experience
- At least 1 year of experience developing, deploying, testing in AWS public cloud
- At least 1 years’ experience in system analysis
- At least 3 years of professional work experience delivering big data solutions using open-source
- At least 5 years of professional work experience in large scale data projects
- At least 4 years of professional work experience in data management & data engineerin
Preferred Qualifications:
- 3+ years experience in at least one scripting language (Python, *Scala & Spark)
- 7+ years experience developing software solutions to solve business problems
- 1+ year of experience in AWS Cloud computing
- 2+ years of experience in an Agile delivery environment
Our Benefits: