AWS Python Data Engineer

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 towards building software solutions

Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability

Conduct code reviews, do changes to the codebase and maintain code repositories

Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards

Develop user training programs, documentation, and support frameworks to ensure a smooth transition 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 and assist other similar projects

Preferred

Experience with Pyspark

Experience with Fast API/Flask frameworks, Large-scale data processing (JSON/XML/Parquet) is preferred

Experience with Distributed Systems, SQL & NoSQL (PostgreSQL, DynamoDB)

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

Glassdoor

3.7

Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services.

Bangalore, Karnataka, IND

http://www.infosys.com

Public Company

Total Funding

$200M

Key Investors

ChrysCapital

2012-12-12

IPO

2008-07-10

Post Ipo Equity· $200M

Leadership Team

Salil Parekh

Chief Executive Officer and Managing Director

Anant Adya

Executive Vice President

Recent News

IndiaTimes

Stock market rally today: Sensex ends over 1,100 points up, investors richer by Rs 4.12 lakh crore - what's driving the rise?

2026-10-17

Forbes India

Qualifications

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), SDLC

Familiarities with Cloud-native architecture patterns, Production monitoring & reliability improvements

Experience with System Design & Scalability

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

All applicants authorized to work in the United States are encouraged to apply

Experience with Pyspark

Experience with Fast API/Flask frameworks, Large-scale data processing (JSON/XML/Parquet) is preferred

Experience with Distributed Systems, SQL & NoSQL (PostgreSQL, DynamoDB)

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.

Required skills

Amazon Web Services (AWS), Python, PySpark, AWS Services EC2, AWS Services ECS, AWS Services ECR, AWS Services EFS, AWS Services EMR, AWS Services Lambda, AWS Services Step Functions, AWS Services RDS, AWS Services Glue, AWS Services S3, AWS Services API Gateway, AWS Services SQS, AWS Services SNS, REST APIs, Microservices, GitLab CI/CD, Git, Docker, Kubernetes, Terraform, SQL and NoSQL PostgreSQL, SQL and NoSQL DynamoDB

Preferred skills

Experience with Pyspark

Experience

3+ years