Data Analyst/Engineer

TCS interviews typically start with an online assessment that tests quantitative aptitude and coding ability, followed by a technical interview focusing on SQL, data modeling, and big‑data concepts. The final HR round evaluates communication skills and cultural fit. The overall difficulty is moderate, and thorough preparation on data pipelines and problem‑solving strategies greatly improves success chances.

TCS promotes a collaborative culture with a focus on continuous learning and innovation. Employees benefit from structured career ladders, regular upskilling programs, and a balanced work‑life environment supported by flexible timings and remote‑work options where applicable.

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.

Round 1: Online Assessment (Aptitude + Coding) → Round 2: Technical Interview (Data Engineering concepts, SQL, Big Data tools) → 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.