KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
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Applications open Full-Time Job

Python Developer (Fresher)

Echno Technologies Pvt Ltd

  • Bengaluru, India
  • Competitive Package
  • Fresher (0-1 Yrs)
  • Posted Today
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About the role

We are looking for a passionate and enthusiastic Python Developer (Fresher) with a basic understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). The candidate should have a strong interest in Python programming, problem-solving, backend development, and developing innovative software solutions.

The ideal candidate should be eager to learn, work on real-time projects, and contribute to the development of AI/ML-based and GenAI applications.

Key Responsibilities

  • Develop, test, and maintain applications using Python.
  • Write clean, efficient, and reusable Python code.
  • Work on basic AI/ML models and Generative AI (GenAI) applications.
  • Assist in data preprocessing, data cleaning, and data analysis.
  • Understand and work with machine learning algorithms.
  • Work with libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.
  • Assist in integrating AI/ML models into Python applications.
  • Explore Retrieval-Augmented Generation (RAG), Embeddings, and Re-ranking techniques for AI-powered applications.
  • Assist in developing and integrating APIs and Python-based backend services.
  • Learn and apply Prompt Engineering techniques to improve GenAI application responses.
  • Debug code, identify issues, and implement solutions.
  • Collaborate with the development team on ongoing projects.
  • Continuously learn and explore new technologies in Python, AI, ML, and GenAI.

Required Skills

  • Basic knowledge of Python programming.
  • Understanding of OOP concepts and data structures.
  • Basic knowledge of Artificial Intelligence, Machine Learning, and Generative AI (GenAI).
  • Basic understanding of RAG, Embeddings, Re-ranking, and Prompt Engineering.
  • Familiarity with NumPy, Pandas, and Scikit-learn.
  • Understanding of SQL and database concepts.
  • Basic knowledge of REST APIs and Python backend development (FastAPI or Flask).
  • Familiarity with Git/GitHub.
  • Good analytical and problem-solving skills.
  • Willingness to learn and adapt to new technologies.

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

Python SQL FastAPI Flask REST APIs Git Machine Learning Generative AI / LLMs

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 (Python, SQL, FastAPI, Flask, REST APIs, Git, Machine Learning, Generative AI / LLMs) & 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 Echno Technologies Pvt Ltd 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 Echno Technologies Pvt Ltd as a Python Developer (Fresher)?
Highlight Echno Technologies Pvt Ltd'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.
Echno Technologies Pvt Ltd Competitive Package
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