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Applications open Full-Time Job

SDE I FTC

Amazon

  • Hyderabad, India
  • Competitive Package
  • 1-3 Years
  • Posted Today
HR
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About the role

Description

This is a 12 month Amazon contract. It's still Day 1 at Amazon IN Payments, and we're at the beginning of building out an entire suite of rendering technologies that can standardize the way UX components interact and their look and feel on Amazon Pay pages. PayUI is a greenfield initiative in Amazon Pay org, offering a rare opportunity to build standardized UX components that have to be reused across all Amazon Pay pages.

You will be part of a new team building a large scale tier-1 rendering platform that supports as the skeleton for all the payment pages to depend, host and render on, in Amazon Pay. This new system will be utilized by thousands of customers every day. You and a team of developers will work through all phases of the project life-cycle, including reviewing requirements, designing services that lay the foundation for the new technology platform, building from the basic blocks of the new UX components and their interfaces, developing and testing code, and delivering seamless implementations for our customers.

You will help define, design, prototype, and build these experiences. To achieve this, you will collaborate closely with product managers, UX designers, Software developers and multiple client teams.

Our team is looking for a seasoned engineer to design and build customer experiences that span multiple customer use cases in Amazon Pay space. The ability to work within a creative and positive team environment are key to the role.

Basic Qualifications

  • 1+ years of non-internship professional software development experience
  • Experience programming with at least one software programming language

Preferred Qualifications

  • Bachelor's degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Company - ADCI HYD 13 SEZ - H84

Job ID: A10563602

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Data Structures & Algorithms Python/Java System Design SQL REST APIs Docker Git

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Data Structures & Algorithms, Python/Java, System Design, SQL, REST APIs, Docker, Git) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Amazon Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Amazon as a SDE I FTC?
Highlight Amazon's market reputation, recent tech innovations, and how your skills in Data Structures & Algorithms directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Amazon Competitive Package
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