ENGAGEMENT MODEL
If your team is looking to fill up a Technical position/s and would like us to partner with you on the IT staffing needs, Please fill up our contact form and one of our Principals will reach out for a no-obligation Discovery call. We’ll review your project scope, challenges and would love to share the insights which can help you with your overall initiatives.
Engagement Model
Our team is committed to delivering the industry's best available resources to our clients. Our engagements are customized to provide best the solutions on a budget. If the client doesn't have a fixed model in place, we work closely with the client to bring the best out of the available budget.
Short Term Contract
Contract to Hire
Permanent Placement
End to End Project Based
Managed Services
Offshore Development/Onshore Manager
Nearshore Development and Support
Remote Development and Support
Offshore Support (Level-1 Production Oncall)
Our pre-engagement comes with free 40 hours of technical evaluation for the technical staffing engagement to develop a strategy if you don't already have one. During the pre-engagement, you will work with the Principal Consultant from our management team who will be a decision-maker from Scalar Solutions, and a Technical SME and Domain SME (if required) who will be chosen based on the technology you would like to discuss. Once the requirement is understood and strategy is developed one of the Engagement models will be chosen to proceed further.
Techical Positions we fill
Datawarehouse and Cloud Engineers
Cloud Engineer (AWS/Google/Azure)
Cloud Architect
Datawarehouse Developer (ETL Experts)
Cloud Systems Engineer
Cloud Operations Engineer
Report Developer
Tableau Developer
MicroStrategy Developer
SSRS/PowerBI Developer
Workday HCM Report Developer
Cognos Report Developer
Project Management & Operations
Technical Project Managers
Agile Coach
Scrum Masters
Business Analysts
Test Leads and QA Analysts
Operations Leads
Data & Analytics
Data Engineer
Data Scientist
Artificial Intelligence (AI)
Machine Learning (ML)
Data Analyst
Big Data Engineer/Scientist
Statisticians