Minimum 0-2 yrs. experience with Bachelor's/Master's degree in Computer Science or other equivalent.
Recent graduates with no experience are also welcome to apply for the above positions.
Willing to relocate nationwide in the US for projects.
Valid work status in US.

Click here for the Job Description

Placement is guaranteed (for qualified candidates). We will chart out a training program that fits your background. Selected students will be provided with quality training, along with free accommodation. We are an E-verified company and will help with OPT extensions and file H1B / Green Card in a timely and effective manner. Salary/Compensation will be on par with industry standards. Our focus is to ensure, you can get a solid start with your career in the IT industry.

Pointers to choose us
Over 12 years presence with 200 employees on payroll.
Authorized to sponsor Visas and Stem extensions.
We are an E-verified company and an Equal Opportunity Employer.
3 strong Marketing managers working from Ashburn,Virginia. Payroll on time monthly.

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Business Analysis

BA Job Summary:
The Business Analyst’s role is to plan, design, develop, and support efficient business, financial, and operations systems in support of core organizational functions and business processes. This includes gathering and analyzing data in support of business cases, proposed projects, and systems requirements. The Business Analyst is also responsible communicating his/her findings, complete with probable causes and possible solutions to systems issues.

Competencies of a BA

  • Eliciting Requirements.
  • Creating the Business Requirements Document
  • Structured Analysis
  • Object-Oriented Analysis
  • Testing
  • End-User Support
  • IT Fluency
  • Business Process Re-Engineering

Data Analysis

DA Job Summary:

The Data Analyst conducts studies, gathers and analyzes data from various databases and sources, develops reports, summaries, recommendations, and visual representations, performs statistical programming, develops and/or maintains databases and provides consultation and technical assistance to a wide variety of clients; advises and assists clients in determining the appropriate analytical methodology to meet their needs and objectives, uses various statistical packages, summarizes and interprets statistical results and designs and implements process improvements. Duties are performed at various levels within the defined title.

Competencies of DA

  • Statistical Analysis
  • Gap Analysis
  • Data Modelling
  • Data Reporting
  • Data Visualization
  • Data Warehousing

Quality Assurance Analysis

QA Job Summary:

The Quality Assurance Analyst's role is to develop and establish quality assurance standards and measures for the information technology services within the organization. This individual will also gather and analyze data in support of business cases, proposed projects, and systems requirements.

Project Management

What is Project Management?

Key Highlights:

  • Integration Management
  • Scope Management
  • Time Management
  • Human Resource Management
  • Communications Management
  • Risk Management


What is Data Warehouse?

In computing, a data warehouse, also known as an enterprise data warehouse, is a system used for reporting and data analysis, and is considered a core component of business intelligence. A data warehouse maintains a copy of information from the source transaction systems.

Most of the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success.
With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and Erwin.

Key Highlights:

  • ETL
  • Flat File
  • Loading flat files to tables
  • OLTP, OLAP environment and Data Marts
  • Loading process from flat files to ODS and ODS to Data Marts
  • DWH Flow Diagrams
  • DWH Phases


What is Big Data?

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

Why Big Data?

In today's world, properly leveraged data can give organizations of all types a competitive advantage. Companies now handle vast amounts of data on a daily basis, and sorting, storing, and analyzing this data is more challenging than ever. Big Data professionals can extract useful information from data and increase the ROI of a business. The demand for these professionals is steadily increasing.

Key Highlights:

  • Introduction to Hadoop (Big Data)
  • Need for Big Data
  • Characteristics of Big Data Technology
  • Appeal of Big Data Technology
  • Handling limitations of Big Data Technology
  • Introduction to Hadoop
  • Hadoop Components