L #2726
Applications open
Full-Time Job
Senior Backend Engineer
Kamakhya Analytics Private Limited
About the role
Senior Backend Engineer
Position: Senior Backend Engineer
Location: Bangalore (Hybrid)
Experience: 5–7 years
Job Overview
We're looking for a Senior Backend Engineer with 5–7 years of experience to join our Software Development team. You'll own the backend of analytics-driven web applications end to end - building scalable APIs, designing data models, and ensuring the systems that power our data visualization and tracking products are fast, reliable, and maintainable. The ideal candidate is a strong Python developer who takes ownership, writes clean code, and uses modern tooling (including AI) to ship quality work on time.
Responsibilities
- Design, build, and maintain robust, scalable backend services and RESTful APIs using Python.
- Take end-to-end ownership of assigned features - from design through implementation, deployment, and maintenance.
- Model and optimize data storage across SQL and NoSQL databases to support analytics workloads.
- Build and maintain integrations that serve clean, structured data to the frontend and analytics layers.
- Participate actively in code reviews and uphold engineering best practices.
- Translate business and product requirements into reliable technical solutions.
- Use AI tools in your day-to-day workflow to accelerate delivery without compromising code quality.
- Troubleshoot, debug, and resolve issues across the backend stack with initiative.
- Write clean, efficient, well-documented, and well-tested code.
Required Skills
- 3–7 years of professional backend development experience.
- Strong proficiency in Python.
- Hands-on experience with at least one Python web framework - Django, FastAPI, or Flask.
- Solid experience with both RDBMS (PostgreSQL) and NoSQL (MongoDB) databases.
- Strong command of Git/GitHub and version control workflows.
- Proven experience designing and implementing RESTful APIs.
- Sound understanding of software architecture principles and design patterns.
- Experience with testing frameworks (e.g., pytest).
- Comfort integrating AI tools into daily development to improve speed and quality.
- Strong problem-solving ability and logical reasoning.
- Familiarity with containerization (Docker).
Good to Have
- Exposure to frontend fundamentals (JavaScript/React).
- Experience working with large or analytics-heavy datasets.
- Set up and improve CI/CD pipelines, deployment workflows, and AWS-based infrastructure.
- Experience deploying and managing applications on AWS.
- Practical experience with CI/CD pipelines and deployment automation.
Eligibility & process
Who can apply
Seniority: Mid-Senior level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy 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 Kamakhya Analytics Private Limited 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
Kamakhya Analytics Private Limited Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Kamakhya Analytics Private Limited 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
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, SQL, React, Django, FastAPI, Flask, 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
Kamakhya Analytics Private Limited 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 Kamakhya Analytics Private Limited as a Senior Backend Engineer?
Highlight Kamakhya Analytics Private Limited's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Kamakhya Analytics Private Limited'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).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Bengaluru, India
Seniority: Mid-Senior level. Employment t…
