
Eligibility Criteria
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.

Job Description & Key Responsibilities
Tata Consultancy Services (TCS) is one of Indiaβs 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 endβtoβend digital solutions across industries such as banking, retail, manufacturing, and healthcare. TCSβs 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 highβimpact 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 dayβtoβday business problems that can be solved using data.
2. Extract, clean, and transform large datasets from multiple sources using SQL and bigβdata 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 adβhoc analysis to support decisionβmaking across functions.
6. Optimize data storage solutions for performance and costβefficiency.
7. Collaborate with data scientists to provide clean, wellβdocumented datasets for modeling.
8. Ensure data governance, security, and compliance standards are met.
9. Participate in code reviews, knowledgeβsharing 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 worldβclass training platforms, and exposure to cuttingβedge technologies. The companyβs strong brand, extensive client base, and emphasis on workβlife balance make it an ideal launchpad for a longβterm data career.