KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
JD #2124
Applications open Internship

Software Engineer

Microsoft

  • Bengaluru, India
  • 12 LPA - 15 LPA
  • Internship
  • Posted Oct 24, 2026
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

Microsoft is a global technology leader that empowers every person and organization on the planet to achieve more. With a presence in over 190 countries, the company drives innovation across cloud computing, artificial intelligence, productivity software, and gaming. In India, Microsoft operates major development and research centers in Bengaluru, Hyderabad, and Noida, fostering a culture of collaboration, continuous learning, and social impact through initiatives like AI for Good and Digital Skills for India. The firm’s commitment to diversity, inclusion, and sustainability makes it a preferred employer for fresh talent seeking to work on cutting‑edge products that reach billions of users. The Analyst role at Microsoft India is designed for recent graduates who are passionate about turning data into actionable insights. As an Analyst, you will work closely with product managers, engineers, and business stakeholders to understand business problems, extract and clean data, and build analytical models that drive strategic decisions. This position offers a unique blend of business acumen and technical rigor, providing exposure to Microsoft’s cloud platforms, data services, and enterprise solutions. Key Responsibilities: 1. Collect, clean, and validate large datasets from multiple sources using SQL and Python. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop interactive dashboards and visualizations using Power BI or Tableau to communicate findings. 4. Build predictive and descriptive models to support product and market strategies. 5. Collaborate with cross‑functional teams to define metrics, KPIs, and reporting standards. 6. Document analytical methodologies, assumptions, and results for stakeholder review. 7. Participate in data governance initiatives to ensure data quality and compliance. 8. Provide ad‑hoc analytical support for business cases, pricing, and customer segmentation. 9. Continuously monitor model performance and suggest improvements. 10. Stay updated with emerging analytics tools and best practices, sharing knowledge within the team. Tech Stack: SQL, Python (pandas, NumPy, scikit‑learn), Power BI/Tableau, Azure Data Lake, Azure Synapse, Git for version control, and basic knowledge of cloud services (Azure). Growth Path: Analysts typically progress to Senior Analyst, Data Engineer, or Business Intelligence Consultant roles within 2‑3 years, with opportunities to move into Product Management or Strategy positions based on performance and interests. Microsoft’s internal learning platforms, mentorship programs, and rotational assignments accelerate career development. Why Join Microsoft? You will be part of a world‑renowned organization that values innovation, diversity, and impact. The role offers exposure to industry‑leading technologies, a collaborative environment, and a clear roadmap for professional growth. Moreover, Microsoft’s competitive compensation, comprehensive benefits, and emphasis on work‑life balance make it an attractive destination for ambitious freshers.

Eligibility & process

Who can apply

Bachelor's degree (B.Tech/B.E/M.Tech) in Computer Science, Information Technology, Electronics, or related fields; Minimum 60% aggregate or CGPA 6.5/10; No active backlogs; Graduation batch 2025 or 2026; Strong analytical mindset and communication skills.

Skills & stack

SQL Python Data Analysis Power BI Tableau Advanced Excel Statistical Modeling

Selection process

  1. Round 1: Online Assessment (aptitude + coding)
  2. Round 2: Technical Interview (data analysis, SQL, case studies)
  3. Round 3: HR Interview (fit, motivations, compensation discussion)

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 (SQL, Python, Data Analysis, Power BI, Tableau, Advanced Excel, Statistical Modeling) & 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 Microsoft 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 Microsoft as a Software Engineer?
Highlight Microsoft's market reputation, recent tech innovations, and how your skills in SQL 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.
Microsoft 12 LPA - 15 LPA
Recruiter Resume Apply
Chat Chat with Kashii