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REQUIREMENT_ID_259 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst/Engineer

Company
Company TCS (Tata Consultancy Services)
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6 LPA - 8 LPA
Location
Location Pan India
Posted Date
Posted Date Yesterday
SQL Big Data Data Visualization Analytics Python Hadoop Spark ETL Tableau Power BI Cloud (AWS/Azure) Problem Solving
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TCS Placement Papers – Data Engineer Open Resource β†—
Curated set of previous TCS placement questions to help you practice the type of problems asked for data roles.
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TCS Recruitment Process Experiences Open Resource β†—
First‑hand accounts of candidates detailing each interview round, useful for setting expectations and preparation strategy.
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TCS Interview Preparation Guide Open Resource β†—
Comprehensive guide covering topics, sample questions, and tips specifically for TCS data‑related interviews.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding skills required for the online assessment and technical interview.

Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, Information Technology or a related field; minimum 60% aggregate (or CGPA 6.0/10); final year students of 2025, 2026 or 2027 batches are eligible; no active backlogs at the time of joining; strong analytical mindset and passion for data.

1
Round 1: Online Assessment (Aptitude + Coding)
2
Round 2: Technical Interview (Data Engineering concepts, SQL, Big Data tools)
3
Round 3: HR Interview (fitment, communication, career goals)
Tata Consultancy Services (TCS) is one of India’s largest IT services and consulting firms, with a presence in over 46 countries and a workforce that exceeds 500,000 professionals. The company has a strong legacy of delivering end‑to‑end digital solutions across industries such as banking, retail, manufacturing, and healthcare. TCS’s commitment to innovation is evident through its investments in emerging technologies like cloud, AI, and big data, making it a preferred employer for fresh talent looking to build a global career. As a Data Engineer at TCS Hyderabad, you will be part of a high‑impact analytics team that transforms raw data into actionable insights for business stakeholders. The role blends technical rigor with business acumen, allowing you to design, develop, and maintain data pipelines that feed dashboards, reports, and predictive models. You will work closely with data scientists, product managers, and domain experts to ensure data quality, reliability, and scalability. **Key Responsibilities** 1. Gather and understand day‑to‑day business problems that can be solved using data. 2. Extract, clean, and transform large datasets from multiple sources using SQL and big‑data tools. 3. Build and maintain robust ETL pipelines on platforms such as Hadoop, Spark, or Azure Data Factory. 4. Develop interactive visualizations and dashboards to present complex data in an intuitive manner. 5. Conduct recurring and ad‑hoc analysis to support decision‑making across functions. 6. Optimize data storage solutions for performance and cost‑efficiency. 7. Collaborate with data scientists to provide clean, well‑documented datasets for modeling. 8. Ensure data governance, security, and compliance standards are met. 9. Participate in code reviews, knowledge‑sharing sessions, and continuous improvement initiatives. 10. Stay updated with the latest trends in big data, analytics, and visualization tools. **Tech Stack**: SQL, Python/Scala, Hadoop, Spark, Hive, Airflow, Power BI/Tableau, Azure/AWS cloud services, Git. **Growth Path**: Starting as a Data Engineer, you can progress to Senior Data Engineer, Lead Engineer, and eventually to roles such as Data Architect or Analytics Manager. TCS offers structured learning programs, certifications, and opportunities to work on global projects, accelerating career growth. **Why Join TCS?** TCS provides a stable yet dynamic environment where freshers receive mentorship from industry veterans, access to world‑class training platforms, and exposure to cutting‑edge technologies. The company’s strong brand, extensive client base, and emphasis on work‑life balance make it an ideal launchpad for a long‑term data career.

TCS (Tata Consultancy Services) 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 🎯
TCS (Tata Consultancy Services) Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for TCS (Tata Consultancy Services) 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 (SQL, Big Data, Data Visualization, Analytics, Python, Hadoop, Spark, ETL, Tableau, Power BI, Cloud (AWS/Azure), Problem Solving) & 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
TCS (Tata Consultancy Services) 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 TCS (Tata Consultancy Services) as a Data Analyst/Engineer?
Preparation Tip: Highlight TCS (Tata Consultancy Services)'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.
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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