Role Overview: We are seeking a mid-to-senior level QA Test Automation Engineer to establish and implement our test automation practice. The candidate will begin by focusing on Data Integrity automation and will later scale into API and UI testing . The engineers will collaborate closely with our teams as we build out robust automation. As a Microsoft/.NET-focused organization with Python capabilities , the engineer will work within a tech stack that includes Visual Studio, VS Code, Git, and Azure DevOps . Key Responsibilities: Develop and implement Data Integrity test automation using Python and/or .NET. Build and maintain an automation framework that supports API and UI testing . Strong SQL knowledge to validate data integrity, write queries for test validations, and support back-end test automation. Identify, evaluate, and integrate appropriate test automation tools (for example: PyTest for Python, XUnit for C#/.NET, Selenium for UI, and Postman for API testing). Work within an Agile Scrum team, collaborating closely with QA leads and development teams. Write and maintain automated test scripts for data validation, API endpoints, and web UI components. Leverage Git and Azure DevOps for version control, CI/CD pipeline integration, and automated test execution. Ensure all automated tests are reliable, maintainable, and scalable , providing consistent test results and quick feedback. Required Qualifications & Experience: Mid to Senior level QA automation expertise (5+ years of relevant experience). Hands-on experience developing test automation with Python and/or .NET . Proficiency in UI automation tools such as Selenium or Playwright. Experience with API testing and automation (e.g., using Postman, REST Assured, or similar frameworks). Foundational knowledge of Microsoft Azure services and environments. Strong understanding of Git , VS Code , and Visual Studio for collaborative development and testing. Familiarity with Agile Scrum methodologies and working in Scrum teams. Preferred Skills (Nice to Have): Proven experience setting up a test automation framework from scratch , defining structure and best practices. Knowledge of CI/CD pipelines and integrating automated tests into Azure DevOps build and release processes. Exposure to performance testing and security testing techniques and tools. Experience with U.S. Healthcare (Patient/Member, Provider, Claims, etc)

Key Responsibilities: Collaborate closely with stakeholders and cross-functional teams to understand business requirements and translate them into technical specifications for data warehouse development. Design, develop, and maintain scalable, sustainable ETL and SQL Server Data warehouse solutions for healthcare payor data management needs. Develop and optimize ETL processes using strong SQL skills and ADF pipelines. Port to ADF existing SSIS integrations. Ensure data quality and integrity through the implementation of data governance techniques addressing controls, monitoring, alerting/, validation checks, and error handling procedures. Participate in triaging production issues as well as rotational Production support. Lead developer teams when needed in cross-functional projects. Conduct Daily Scrums, Code Reviews and Production Turnover verifications when needed including bridging the gap between Offshore developers and Onshore leadership. Mentor and guide offshore team members, fostering a culture of collaboration and continuous learning. Qualifications: Bachelors degree in computer science, Information Systems, or a related field. 6+ years’ experience designing ETL solutions. Minimum of 5 years of professional experience in healthcare related areas with functional knowledge of healthcare business capabilities and data for Enrollments, Members, Authorizations, Claims, Provider functional areas. Prior Experience with Azure Data Factory (ADF) development, SSIS development and porting ETL implementations from SSIS to ADF. Strong proficiency in SQL (SQL Server, T-SQL) demonstrated experience in writing complex queries and optimizing database performance. Excellent communication and collaboration skills to work effectively with business stakeholders and cross-functional teams. Experience in facing Business teams in eliciting, developing and refining business requirements. Prior experience in Data modeling. Architecture/Design, including leading design and code reviews for ETL teams. Experienced in Azure DevOps, CI/CD and Release Management practices. Awareness of Best practices in Data Management, Data Governance and in Ensuring defect free production deployments. Job Benefits: Salary : Competitive and among the best in the industry Health Insurance : Comprehensive coverage for you and your family Flexible Timings : Work-life balance with adaptable schedules Team Lunches & Outings : Regular team bonding activities and celebrations Growth Opportunities : A supportive environment for learning and career advancement

Core Characteristics Achievement-oriented Enjoys taking on challenges, even if they might fail. Innovative – Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties. Resource maximizing – Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities. Autonomous/ independent – Enjoys working with little direction. Dynamically detail oriented – Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture. Critical thinker – Applies logic, reason, and rationale to a given problem and/ or proposed solution. Dependable – More reliable than spontaneous. Flexible – Ability to manage competing priorities in a fluid environment. Prioritizing – Effective with prioritization, goal setting, and time management. Communicator – Excellent in communications, interpersonally, and in writing. Key Responsibilities: Analyze and interpret complex datasets to uncover valuable insights. Develop and implement Machine Learning (ML) models and algorithms. Collaborate with the team to design and execute data experiments. Utilize cloud platforms for data storage, processing, and analysis. Present findings and insights to both technical and non-technical stakeholders Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics. Analyze complex healthcare data sets to identify trends, patterns, and insights. Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. Identify opportunities for process improvement and efficiency through data analysis. Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. Qualifications: Degree in computer science, Statistics, Data Science, or a related field. Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn) Familiarity with machine learning (ML) concepts and algorithms. Analyze and interpret complex healthcare datasets to extract valuable insights. Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI) Basic understanding of databases systems and SQL Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions. Excellent problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and methodologies. Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. Ability to generate information quickly and manage multiple projects at once. Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions Experience with Azure/AWS tools and technology

Responsibilities : Develop and write SQL queries from scratch. Work extensively with Cloud Azure and Azure Data Factory (ADF). Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and maintain existing SQL queries and databases. Ensure data integrity and security. Requirements : Bachelors degree in computer science or a related field. 8-12 years of experience in SQL development. Strong expertise in Cloud Azure and Azure Data Factory (ADF). Proficiency in Azure SQL, Python data extraction, SQL Server (2016, 2019), SSIS, and DataBricks. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Salary and Benefits : Comprehensive benefits package including health insurance, paid time off, and professional development opportunities

Job Description: We are looking for a highly motivated and enthusiastic Full Stack Developer (Fresher) to join our development team. You will work on both front-end and back-end development tasks and gain hands-on experience with modern technologies and frameworks. Key Responsibilities: Assist in the design and development of scalable web applications. Write clean, maintainable, and efficient code. Collaborate with senior developers and designers to implement features. Participate in code reviews and team meetings. Learn and adapt to new technologies and tools. Debug and troubleshoot issues across the stack. Required Skills: Basic understanding of HTML, CSS, JavaScript . Familiarity with front-end frameworks like React.js, Angular, or Vue.js. Knowledge of back-end technologies such as Node.js, Express.js, or Python/Django. Understanding of databases like MySQL, MongoDB, or PostgreSQL. Good problem-solving and communication skills. Eagerness to learn and grow in a fast-paced environment. Preferred Qualifications: Bachelors degree in Computer Science, IT, or related field. Internship or project experience in web development is a plus. Knowledge of version control systems like Git.