AWS Python Data Engineer
About The Position
The AWS Python Data Engineer will work in Infosys’s Data and Analytics unit, which develops AI and analytics solutions to address business challenges and support data-driven decision-making. The position is assigned the job role of Technology Consultant 2 and contributes to software delivery across the software development lifecycle, from requirements gathering and design through implementation, testing, support, and documentation. The role involves contributing to requirements elicitation, facilitating and documenting design discussions, coding and integrating features, reviewing and maintaining code, implementing tests, coordinating fixes, and supporting production systems. The engineer also develops user training and documentation, resolves production issues, recommends reliability improvements, and maintains records of code, testing, and support activities. The position calls for collaboration with cross-functional teams and the ability to translate requirements into actionable development work. The position may require relocation and/or travel to the work or project location. Applicants authorized to work in the United States are encouraged to apply. Estimated annual compensation is $76,071–$98,892 in Somerset, NJ and South Brunswick, NJ, and $81,447–$105,881 in Reston, VA.
Requirements
- Experience with AWS services including EC2, ECS, ECR, EFS, EMR, Lambda, Step Functions, RDS, Glue, S3, and API Gateway.
- Experience with SQS/SNS, REST APIs, and microservices.
- Experience with Python libraries and scripting.
- Experience with CI/CD, GitLab, Git, Docker, Kubernetes, Terraform (IaC), and SDLC.
- Familiarity with cloud-native architecture patterns, production monitoring, and reliability improvements.
- Experience with system design and scalability.
- Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive specialty experience in lieu of each year of education.
- Applicants must be authorized to work in the United States.
Nice To Haves
- Experience with PySpark.
- Experience with FastAPI or Flask frameworks.
- Experience with large-scale data processing using JSON, XML, or Parquet.
- Experience with distributed systems and SQL and NoSQL databases, including PostgreSQL and DynamoDB.
Responsibilities
- Contribute to requirements elicitation by documenting assigned portions of business requirements under guidance.
- Facilitate software application design discussions and document design decisions for the technical team.
- Participate in coding and integrate new features or updates into existing applications while maintaining 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 for transitions to new software applications.
- Resolve production issues and recommend preventive strategies to improve system reliability.
- Maintain records of code, testing techniques, and support activities to support the knowledge base and similar projects.
- Work collaboratively across functions, including software integration and end-to-end SDLC activities.
Benefits
- Medical, dental, vision, and life insurance.
- Long-term and short-term disability insurance.
- Health and dependent care reimbursement accounts.
- Accident, critical illness, hospital indemnity, and legal insurance.
- 401(k) plan and contributions dependent on salary level.
- Paid holidays and paid time off.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
