The Infosys Insurance unit is dedicated to transforming the insurance industry through innovative digital solutions powered by advanced AI technologies. We blend our industry-leading expertise in consulting and technology to help clients solve complex business problems and unveil hidden value. By integrating AI-driven insights, we enhance our ability to link strategy to execution, leverage cross-industry experience, and accelerate speed to market, ensuring we stay ahead of technological advancements and deliver the best to our clients. Join us to be part of a dynamic team that drives innovation, operational efficiency, and sustainable growth in the insurance sector. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of insurance. If you're passionate about AI and eager to make a significant impact, the Infosys Insurance unit is the perfect place for you to grow and excel.
Job role: Technology Consultant 2
Required skills and experience
• Experience in Test Data Management (TDM).
• Experience in data masking and sensitive data protection.
• Experience in GenRocket configuration, setup, execution, and workflow management.
• Experience in Delphix or IBM Optim.
• Experience in synthetic data generation.
• Experience in test data provisioning, subsetting, and refresh processes.
• Experience in enterprise-wide TDM strategy implementation.
• Experience in integration of TDM with test automation frameworks and automation pipelines.
• Experience in collaboration with QA, development, and data teams.
• Experience in data privacy, compliance, and governance standards.
• Experience in data virtualization techniques.
• Experience in Jenkins, Git, and Docker.
• Experience in DevOps practices and test data lifecycle management.
Preferred skills
• Experience in SQL and relational databases including Oracle, SQL Server, and PostgreSQL.
• Experience in CI/CD practices and continuous testing.
• Experience in test automation frameworks.
• Experience in data quality validation and reconciliation.
• Experience in enterprise data management initiatives.
• Experience in data governance and quality engineering transformation programs.
Qualifications and work authorization
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.