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 work with cutting‑edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors.

Responsibilities

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided.
• Facilitate software application design discussions and document design decisions to guide the technical team.
• Participate in coding and integrate new features or updates into existing applications, focusing on system stability.
• Conduct code reviews, make changes to the codebase, and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
• Develop user training programs, documentation, and support frameworks to ensure smooth transitions to new software applications.
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability.
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base for similar projects.

Your Contribution to the Team

• Collaborative spirit and excellent communication skills.
• Ability to handle end‑to‑end SDLC phases from requirement gathering to implementation.
• Skill in translating complex requirements into actionable development tasks.
• Passion for design and hands‑on coding experience.
• Proactive approach to testing, troubleshooting, and refining applications.
• Ability to work with cross‑functional teams and perform software integration.

Required Skills and Experience

• Experience with AWS services (EC2, ECS, ECR, EFS, EMR, Lambda, Step Functions, RDS, Glue, S3, API Gateway), SQS/SNS, REST APIs & Microservices.
• Proficiency in Python libraries and scripting.
• Experience with CI/CD (GitLab, Git), Docker & Kubernetes, Terraform (IaC), and SDLC processes.
• Familiarity with cloud‑native architecture patterns, production monitoring, and reliability improvements.
• Experience with system design and scalability.

Preferred Skills and Experience

• Experience with PySpark.
• Experience with FastAPI or Flask frameworks; large‑scale data processing (JSON/XML/Parquet) is preferred.
• Experience with distributed systems, SQL & NoSQL databases (PostgreSQL, DynamoDB).

Required Qualifications

Bachelor’s degree or foreign equivalent from an accredited institution (or three years of progressive experience in the specialty in lieu of each year of education). This position may require relocation and/or travel to the 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

• Medical, Dental, Vision, and Life Insurance
• Long‑term and Short‑term Disability
• Health and Dependent Care Reimbursement Accounts
• Additional Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan with 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 managing the systems and workings of global enterprises, we steer clients through their digital journey by providing an AI‑powered core that prioritizes execution of change. We empower businesses with agile digital at scale to deliver unprecedented performance and customer delight, and our always‑on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.