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REQUIREMENT_ID_1594 β€’ 3-DAY_ACTIVE_POLICY

TASE (Python) specialist

Company
Company WalkingTree Technologies
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 3.5 LPA
Location
Location Agra, Hyderabad
Posted Date
Posted Date Oct 06, 2026
Python Django Flask SQL Git Microservices Data Structures APIs NLP REST Docker CI/CD
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen logical thinking and problem‑solving skills, essential for coding interviews at WalkingTree.
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Company Interview Preparation Open Resource β†—
Provides insights into common interview questions and strategies for technical interviews at tech firms.
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Interview Strategy Guides Open Resource β†—
Offers structured approaches to tackle coding challenges and behavioral questions during interviews.
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Coding Problem Sets Open Resource β†—
Practices algorithmic problems that are frequently asked in Python developer interviews.

Bachelor’s degree in Computer Science, Information Technology, Electronics, or any engineering discipline. Fresh graduates only; no backlogs allowed. Strong analytical skills and a passion for coding are essential.

1
Round 1: Technical coding test
2
Round 2: Technical interview (Python & system design)
3
Round 3: HR interview
WalkingTree Technologies is a rapidly growing technology firm that specializes in delivering end‑to‑end Digital, Data, AI, and GenAI solutions to a diverse set of clients across industries. With a strong focus on innovation, the company has built a reputation for creating cutting‑edge products that help businesses transform their operations and unlock new growth opportunities. WalkingTree’s culture is built around collaboration, continuous learning, and a passion for solving real‑world problems with technology. The TASE (Python) Specialist role is designed for fresh graduates who are eager to dive into the world of software development and contribute to high‑impact projects. As a TASE, you will be responsible for designing, developing, and maintaining Python applications that power the company’s AI and data‑driven products. You will work closely with cross‑functional teamsβ€”including product managers, data scientists, and DevOps engineersβ€”to translate business requirements into robust, scalable code. Key Responsibilities: 1. Develop and implement Python applications and scripts for various business use cases. 2. Design and maintain RESTful APIs using Flask or Django. 3. Collaborate with data science teams to integrate NLP models into production. 4. Write clean, well‑documented, and testable code following best practices. 5. Participate in code reviews and provide constructive feedback. 6. Troubleshoot and debug production issues to ensure optimal performance. 7. Contribute to the design of microservices architecture and database schemas. 8. Maintain version control using Git and manage releases via CI/CD pipelines. 9. Stay updated on industry trends, new libraries, and emerging technologies. 10. Mentor junior developers and share knowledge within the team. Tech Stack: Python, Django, Flask, SQL (PostgreSQL/MySQL), Git, Docker, Kubernetes, REST APIs, NLP libraries (spaCy, NLTK), basic ML model deployment. Growth Path: Starting as a TASE, you will progress to Senior Python Developer, then to Lead Engineer or Technical Architect, and eventually to managerial roles such as Engineering Manager or Head of Technology, depending on your interests and performance. Why Join WalkingTree Technologies? - Work on real‑world AI and data projects that have tangible business impact. - Learn from seasoned engineers and data scientists in a supportive environment. - Access to continuous learning resources, workshops, and conference sponsorships. - Competitive salary, performance bonuses, and a culture that values work‑life balance. - Opportunity to shape the product roadmap and influence the company’s technical direction. Overall, WalkingTree offers a vibrant, growth‑oriented environment where fresh talent can thrive and make a difference from day one.

WalkingTree Technologies β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
WalkingTree Technologies Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for WalkingTree Technologies and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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, Django, Flask, SQL, Git, Microservices, Data Structures, APIs, NLP, REST, Docker, CI/CD) & 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
WalkingTree Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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.
Why do you want to join WalkingTree Technologies as a TASE (Python) specialist?
Preparation Tip: Highlight WalkingTree Technologies'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.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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