{"id":3977003,"url":"https://alion.io/job/infosys-aws-python-data-engineer","title":"AWS Python Data Engineer","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":189,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":92,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":76000,"max":99000,"currency":"USD","period":"year","gross":null,"usd_annual":99000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-09T17:45:01Z","employer_posted_date":null,"last_verified_at":"2026-11-09T17:45:01Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Infosys is hiring an AWS Python Data Engineer to contribute across the software development lifecycle, from requirements and design through coding, testing, deployment support, and production troubleshooting. The role focuses on building and maintaining cloud-based software solutions and supporting reliable, high-quality applications.\n\nResponsibilities\nContribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided\nFacilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions\nParticipate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability\nConduct code reviews, do changes to the codebase and maintain code repositories\nImplement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards\nDevelop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications\nActively participate in resolving production issues and recommend preventive strategies to enhance system reliability\nMaintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects\n\nSkills\nA collaborative spirit and excellent communication skills\nThe ability to handle end to end SDLC phases from requirement gathering to implementation\nA knack for translating complex requirements into actionable development tasks\nA passion for design and hands-on coding experience\nA proactive approach to testing, troubleshooting, and refining our applications\nThe ability to work with cross-functional teams and do software integration\nExperience with AWS (EC2, ECS, ECR, EFS, EMR, Lambda, Step functions, RDS, Glue, S3, API Gateway), SQS/SNS, REST APIs & Microservices\nExperience in Python libraries and scripting\nExperience with CI/CD (GitLab, Git), Docker & Kubernetes, Terraform (IaC), SDLC\nFamiliarities with Cloud-native architecture patterns, Production monitoring & reliability improvements\nExperience with System Design & Scalability\nBachelor'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\nAll applicants authorized to work in the United States are encouraged to apply\nExperience with Pyspark\nExperience with Fast API/Flask frameworks, Large-scale data processing (JSON/XML/Parquet) is preferred\nExperience with Distributed Systems, SQL & NoSQL (PostgreSQL, DynamoDB)\n\nBenefits\nAs a full-time Infosys employee, eligible for Medical/Dental/Vision/Life Insurance\nAs a full-time Infosys employee, eligible for Long-term/Short-term Disability\nAs a full-time Infosys employee, eligible for Health and Dependent Care Reimbursement Accounts\nAs a full-time Infosys employee, eligible for Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)\nAs a full-time Infosys employee, eligible for a 401(k) plan and contributions dependent on salary level\nAs a full-time Infosys employee, eligible for paid holidays plus Paid Time Off\n\nCompany Overview\nInfosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. It was founded in 1981, and is headquartered in Bangalore, Karnataka, IND, with a workforce of 10001+ employees. Its website is http://www.infosys.com.\n\nCompany H1B Sponsorship\nInfosys has a track record of offering H1B sponsorships, with 4533 in 2026, 5770 in 2025, 5904 in 2024, 7774 in 2023, 7652 in 2022, 5598 in 2021, 9512 in 2020. 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