AWS Python Data Engineer

Overview

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors.

Area of Responsibility

• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyze outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository

Required Skill and Experience

• Experience with AWS (EC2, ECS, ECR, EFS, EMR, Lambda, Step functions, RDS, Glue, S3, API Gateway), SQS/SNS, REST APIs & Microservices
• Experience in Python libraries and scripting
• Experience with CI/CD (GitLab, Git), Docker & Kubernetes, Terraform (IaC)
• Familiarities with Cloud-native architecture patterns, Production monitoring & reliability improvements
• Experience with System Design & Scalability

Preferred Skill and Experience

• Experience with Pyspark
• Experience with Fast API/Flask frameworks, Large-scale data processing (JSON/XML/Parquet)
• Familiarities with Distributed Systems, SQL & NoSQL (PostgreSQL, DynamoDB)

Additional Required Qualifications

• 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

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.

Benefits

• Competitive pay
• 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

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.