- W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Job ID:
J36993
Specialized Area:
BIG Data
Job Title:
AWS Big Data engineering
Location:
McLean,VA
Duration:
8 Months
Domain Exposure:
IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EADClient:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job Description
• Responsible for delivery in the areas of: Technology Strategy's AWS Big Data engineering & Machine Learning which includes technology implementations and algorithm development
• Develop AWS Cloud Formation Templates to support Infrastructure As Code paradigm
• Leverage Kinesis/ EMR/ Code in Python to extract, clean and manipulate large datasets both structured and unstructured to construct data staging layers and fast real-time systems to feed machine learning algorithms
• Build machine learning models, review and test the effectiveness and accuracy of Image Analytics, NLP, etc on AWS and Google Cloud Managed Services
• Utilize expertise in models that leverage the newest data sources, technologies, and tools, such as machine learning, Python, Hadoop, Spark, AWS, as well as other cutting-edge tools and applications for Big Data
• Support Innovation Lab to research & investigate the impact of new technologies, applications, and data sources on the future of secondary mortgage business
• Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions
• Create large scale deployments using newly researched methodologies.
• Work in Agile environment
• Experience mentoring junior engineers.
Basic Qualifications
• Bachelor's degree in Computer Science or Information Technology
• At least 5 years of experience in Big Data Technologies
• At least 3 years' experience with AWS with Big Data Technologies/Machine Learning Engineering
• AWS Certified – Solutions Architect/Developer
• AWS Certified – Big Data/Machine Learning Specialty
Preferred Qualifications
• Master's Degree in Computer Science
• At least 3 years' experience in Python (NumPy, SciPy, scikit-learn, pandas) and any other open source programming languages for large scale data analysis
• At least 3 years' experience with machine learning and natural language processing
• 2+ years of experience working with financial data
• 10+ years of overall software experience
• Strong communication skills, with the ability to work both independently and in project teams
Apply Now
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract