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