L #2778

Applications open Full-Time Job

Python Full Stack Developer

Wall Street Consulting Services LLC

Hyderabad, India
Competitive Package
5+ Years
Posted Yesterday

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Recruiter / hiring contact

madhu@wscs.ai at Wall Street Consulting Services

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About the role

WE ARE HIRING | FULL STACK ENGINEER | REACT + PYTHON + AWS + CLAUDE AI

We are looking for an experienced Full Stack Engineer to join our team for a full-time opportunity.

Job Title: Python Full Stack Engineer

Employment Type: Full-Time

Experience: 8+ Years

Location: Hyd (Onsite)

Mandatory Skills

Strong hands-on experience with React.js and TypeScript (Vite / Next.js).

Strong backend development experience with Python and FastAPI.

Hands-on experience in Microservices architecture and REST API development.

Strong experience with AWS services: Lambda, ECS/Fargate, API Gateway, EventBridge, Step Functions, S3, and CloudWatch.

Experience with SQL and NoSQL databases (MySQL/Aurora, DynamoDB).

Knowledge of CI/CD pipelines, automated testing, containers, and observability.

Practical experience using Claude AI / LLM tools for coding, debugging, testing, and development productivity.

Good to Have

AWS CDK / CloudFormation.

OpenTelemetry and SRE practices.

Micro-frontend architecture and shared design systems.

Multi-tenant platform development.

Experience with LLM-powered applications or AI agents.

What We Expect

Ability to independently own end-to-end feature development.

Strong understanding of scalable and reliable application architecture.

Experience designing loosely coupled microservices.

Ability to leverage Claude AI as a daily development and debugging partner.

Interested candidates: Please share your updated resume to madhu@wscs.ai

Eligibility & process

Who can apply

Seniority: Mid-Senior level. Employment type: Full-time

Skills & stack

Python JavaScript TypeScript SQL React Next.js FastAPI REST APIs

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources

Study material 4

📖 Aptitude Practice Questions & Mock Tests Curated logical, quantitative, and verbal reasoning problems for the initial online screening round. 🎯 Company-Specific Interview Preparation Corner Detailed interview experiences, exam formats, and previous test questions for Wall Street Consulting Services LLC and tech roles. 📝 Technical Placement Question Bank High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides. 💻 Algorithm, DSA & Live Code Debugger Practice Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Company-specific guides 4

📖 APTITUDE & LOGIC Aptitude Practice Questions & Online Mock Tests Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test. 🎯 COMPANY GUIDE Wall Street Consulting Services LLC Interview Preparation Corner Comprehensive guide covering typical interview formats, common questions, and preparation tips for Wall Street Consulting Services LLC and off-campus tech roles. 📝 MOCK TESTS & PAPERS Comprehensive Interview Prep Resources & Syllabus Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds. 💻 CODING PRACTICE Algorithm and Data Structure Problem Set Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Likely coding questions 4

💻 Two Sum & Two Pointers Array Optimization Easy / Medium Asked in 85% tech rounds ⚡ Live debugger 💻 Reverse Linked List & Detect Cycle (Floyd's Algorithm) Medium Frequently asked in core rounds ⚡ Live debugger 💻 SQL Nth Highest Salary with DENSE_RANK() & Subqueries Medium Top standard database question ⚡ Live debugger 💻 Valid Parentheses & Stack Implementation Easy / Medium Standard online assessment problem ⚡ Live debugger

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 (Python, JavaScript, TypeScript, SQL, React, Next.js, FastAPI, REST APIs) & 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 Wall Street Consulting Services LLC 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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

Behavioural & HR questions 3

Why do you want to join Wall Street Consulting Services LLC as a Python Full Stack Developer?
Highlight Wall Street Consulting Services LLC's market reputation, recent tech innovations, and how your skills in Python 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.

About the role

Mandatory Skills

Good to Have

What We Expect

Eligibility & process

Who can apply

Skills & stack

Selection process

Prep kit

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