Internal Application: Software Engineer 1

About MAQ Software

MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered solutions enable clients to improve their productivity, reduce costs, increase sales, and build stronger customer relationships.

Our clients consistently recognize us for providing architecture and governance frameworks using the Well-Architected Framework, implementing best practices to optimize reports, and building team capability through training programs.

Clients choose to work with us because they are confident in our software delivery. Our confidence results from a commitment to consistent outcomes, reduced time to market, and a transparent workflow. Clients benefit from daily software updates, agile practices, domain expertise, AI adoption, and rapid feedback implementation.

As a premier supplier to Microsoft for over two decades, MAQ Software clients gain extensive insights and engineering practices across the Microsoft platform and can improve their implementations with our breadth and depth of expertise.

As one of the top 25 global partners, Microsoft has awarded MAQ Software eight specializations for meeting their highest standards of service delivery to Fortune 500 companies.

With over 1,800 engineers, MAQ Software has globally integrated teams in Redmond, Washington; Plano, Texas; and Noida, Mumbai, and Hyderabad, India, delivering solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs.

MAQ Software's dedication to customer success has led to sustained growth. Inc. magazine has recognized MAQ Software for sustained organic growth by listing us on the Inc. 5000 list twelve times a rare honor.

Engineering Culture:

We foster an intense work culture with a can-do attitude. All of our key managers come from excellent educational backgrounds and have significant experience growing a company and mentoring software engineers. Due to our smaller size, we adopt the latest technologies and computing trends ahead of the larger industry players. As a part of the company’s globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles.

Our developers routinely work on challenging technical problems that utilize the latest technologies for fast-paced software delivery.

Examples of some of our projects:

• One of the largest food and beverage companies in the world faced challenges due to unreliable data that did not give executives a real view of their customers’ points of sale. This resulted from having disparate systems that generated siloed, static, and conflicting reports. In addition, reporting performance was low and dashboards were not intuitive. We addressed these challenges by migrating multiple Business Intelligence platforms into Power BI, which reduced critical decision-making from weeks to days, brought savings in licensing and infrastructure, and led to skyrocketing Power BI adoption. This was accomplished through a well-crafted plan that included a Power BI migration and optimization, process automation through Power Automate, and a pilot to integrate Azure Synapse to infuse AI-driven insights into inventory, delivery routes, and sales forecasts. A key contributor to user adoption was our approach to implement Centers of Excellence to train hundreds of team members around the world in Power BI capabilities, governance, and best practices.
• We worked on a Machine Learning solution for retail stores and helped them to increase their sales. We have worked with our client to gather their sales data, promotion, and discount data for model engineering. We also used weather data from the US government to develop historical weather model. Our team created a hybrid ML model that predicts future sales far more accurately than the existing ML model used by customer. We used Fourier transforms to decompose sales, analyze trends, and remove noise from the sales time series. Then we applied logarithmic, exponential, and S-curve transformations to features which helped us to develop hybrid regression models and predict upcoming future sales. Our Sales Forecasting Engine, built on Microsoft Azure Databricks, allowed our client to align their business objectives with predicted sales.
• For another client, we developed a Business Intelligence solution to pull high volume data (more than 150 million rows) from source tables to a staging environment efficiently. We developed visually rich reports that allow business users to analyze the data from a different perspective and do what-if analysis based on business needs. We developed data orchestration pipelines to pull a high volume of data in 30 minutes and developed reports using Power BI with optimal page performance.

Job Responsibilities:

Gather Software requirements and Data Analytics (~15%)

• Elicit requirements from customer
• Review User Stories and create software development tasks
• Participate in daily project team huddles and attend daily calls with the onsite team and customer to understand business needs
• Work closely with business intelligence and analytics developers to understand, analyze, make solution recommendations, and define alternate strategy for data design, data orchestration, and ensure data consistency and accuracy

Develop architecture design (~10%)

• Develop iterative prototypes and analyze various upstream data sources
• Prepare approach document based on the business needs
• Identify design alternatives and conduct technical feasibility
• Develop proof of concepts for technical evaluation and early customer feedback
• Develop database schema and document other architectural dependencies for a reliable, scalable, and optimal solution
• Develop algorithms to convert functional specifications into software design

Application development using Azure SQL, Azure services, Power BI, Machine Learning, SharePoint Online, Power Apps, and C# (~65%)

• Develop, maintain, and enhance ADF pipelines, Azure Analysis Services, Azure Databricks, and various forms of BI content including reports, dashboards, and analytical models
• Develop and maintain the machine learning models using Python
• Develop various rich content report using Power BI
• Write frontend and backend code as per the approach document
• Unit test the solution
• Develop, maintain, and enhance web applications using latest frameworks and libraries
• Analyze the reports generated by the tools and incorporate the changes/ results
• Conduct peer code reviews and external code reviews using Git and Azure DevOps
• Generate and deploy daily builds for verification and customer review
• Ensure the consistency between the defined requirements, the implementation of the business logic at the database layer, and the user’s experience in interacting with that data
• Debug, monitor, and troubleshoot solutions
• Verification Automation framework development using Selenium and other tools

Training and certifications (~10%)

• Participate in technical study groups and internal trainings
• Complete in-house certifications to improve the skills on different technologies
• Complete MOOC courses from Microsoft Learn
• Complete MOOC courses from Coursera, edX, Udemy, and Pluralsight, as needed
• Complete Microsoft certifications on Data Analyst Associate, Azure Developer Associate, Azure Data Engineer Associate, Azure AI Engineer Associate, and Azure Data Scientist Associate as needed

Candidate Profile Eligible Branches:

• B. Tech./B.E. (CSE/ IT)
• M. Tech./M.E. (CSE/IT)
• BCA + MCA/ B.Sc. (IT) + MCA/ B.Sc. (CS) + MCA

Eligibility criteria:

• 60% plus or equivalent in Computer Science/Information Technology
• 60% plus in 10th and 12th
• No active backlogs

Why consider MAQ Software?

• Work on complex projects for Microsoft Corporation and other US companies on the latest software platform (Azure DevOps, Azure SQL, Azure Synapse Analytics, Data Factory, Azure Databricks, Azure Data Lake Storage, SharePoint Online, AI, Power BI, Power Platform, Dynamics 365, and HTML5/ CSS3, etc.)
• Deliver 4 - 6 projects in a typical year to gain great experience and develop a strong resume
• Follow latest software engineering techniques including Agile and Lean development techniques which empowers you to contribute to your fullest potential
• Highly rated training program – Our intense training program prepares you to start making active contributions in live projects within two months of joining the company
• Six months’ service agreement among the lowest in the industry to ensure that you have sufficient time to evaluate our work and the company

How to prepare for the interview and technical assessment:

• The interviewer is looking for evidence of your problem-solving skills, technical expertise, and passion for the latest technologies. In the brief interaction, consider sharing your GitHub profile and code you may have written. You can also specify your achievements on coding platforms like HackerRank, Topcoder, CodeChef, etc.
• Review the basics on Database course, Data Structures and Algorithms, and Machine Learning related courses. You can complete Coursera and edX courses to brush up your knowledge.
• Review two books by Rajeev Agarwal to understand work culture and expectations from employers. These books may be available in your library.