TCS Mega Walk-In Drive — Visakhapatnam | 6 June 2026 | Abinitio · Java · PySpark · Snowflake
Tata Consultancy Services · IT Services & Consulting · 4–12 Years Experience · Rushikonda, Visakhapatnam
🔗 Apply on iBegin TCS Portal📍 Venue: TCS Millennium Towers, Block B, Rushikonda, Visakhapatnam – 530048
📅 Date: 6 June 2026 (Saturday) · ⏰ Time: 9:00 AM – 1:30 PM
🏢About TCS
Tata Consultancy Services (TCS) is India's largest IT company and a global leader in IT services, consulting, and business solutions. With over 600,000+ employees across 55 countries, TCS partners with the world's most respected companies to help them create more value, accelerate innovation, and achieve sustainable growth.
The TCS Visakhapatnam delivery center at Millennium Towers, Rushikonda is one of the company's key tech hubs serving global clients in Banking, Telecom, Retail, and Manufacturing domains. The walk-in drive targets experienced professionals in Data Engineering — particularly Abinitio, Java Full Stack, PySpark/Databricks, and Snowflake.
📋Walk-In Details at a Glance
| 🏢 Company | Tata Consultancy Services (TCS) |
| 📅 Walk-In Date | 6 June 2026 (Saturday) |
| ⏰ Registration Time | 09:00 AM – 01:30 PM |
| 📍 Venue | TCS Operations, Millennium Towers, Block B, Rushikonda Hill No. 3, Madhurawada/Rushikonda, Visakhapatnam, AP – 530048 |
| ⏳ Experience | 4–12 Years |
| 🎓 Qualification | Graduate / Post-Graduate · 15+ years full-time education |
| 💼 Roles Open | 4 Technical Roles (Data Engineering focus) |
| 🌐 Apply Portal | ibegin.tcsapps.com/candidate/ |
⚡4 Open Roles — Job Codes
Design, develop and maintain Ab Initio ETL workflows for data extraction, transformation and loading in enterprise data warehouses.
Apply – 413659Build enterprise-scale Java/Spring Boot applications with React/Angular frontend for global clients across Banking & Telecom domains.
Apply – 413657Develop and optimize large-scale PySpark pipelines on Azure Databricks for enterprise data lake solutions handling billions of records.
Apply – 413661Design Snowflake data warehouse solutions, write complex SQL, optimize queries and build data models for enterprise analytics platforms.
Apply – 413663📋Roles & Responsibilities
Design, develop, and maintain Ab Initio ETL graphs for data processing pipelines. Work on complex transformations, aggregations, and data quality rules within Ab Initio GDE. Optimize existing workflows for performance and scalability. Collaborate with data architects to understand requirements and translate them into efficient ETL solutions. Participate in code reviews, troubleshoot production issues, and maintain technical documentation.
Develop and maintain scalable Java/Spring Boot microservices and REST APIs. Build responsive frontend applications using React or Angular. Design and integrate databases (Oracle, MySQL, PostgreSQL). Implement security best practices (OAuth2, JWT). Participate in Agile ceremonies, write unit/integration tests, and ensure code quality through peer reviews. Deploy and manage applications on cloud platforms (AWS/Azure/GCP).
Build and optimize large-scale data pipelines using PySpark on Azure Databricks. Develop delta lake architectures and data ingestion frameworks. Write efficient transformations using Spark DataFrames and SQL. Collaborate with data engineers to design end-to-end data flows from raw to serving layers. Monitor and optimize Spark job performance, memory, and cluster utilization. Integrate with Azure Data Factory, ADLS, and downstream BI tools.
Design and implement Snowflake data warehousing solutions including schemas, tables, views, and stored procedures. Write complex SQL queries for analytics and reporting. Optimize warehouse costs and query performance using clustering, materialized views, and caching. Build and maintain data models (star/snowflake schemas). Integrate Snowflake with dbt, Airflow, and BI tools like Power BI/Tableau. Support data governance and access control within Snowflake.
Collaborate with global delivery teams and onsite counterparts. Adhere to TCS quality frameworks, delivery timelines, and SLA standards. Participate in code reviews, sprint planning, and retrospectives. Write and maintain technical documentation. Continuously learn and adapt to new technologies as part of TCS's culture of continuous learning.
🎓Eligibility Criteria
15+ yr full-time
🌟Why Join TCS Visakhapatnam?
📍Walk-In Location — Millennium Towers, Rushikonda, Visakhapatnam
TCS Visakhapatnam is located at Millennium Towers, IT Hill No. 3, Rushikonda — the heart of Visakhapatnam's IT corridor. Rushikonda/Madhurawada is home to several IT majors and is well-connected by APSRTC buses and auto-rickshaws from all parts of Vizag.
📩How to Attend — Step-by-Step
Visit ibegin.tcsapps.com/candidate/ and search for your relevant job code (413659 / 413657 / 413661 / 413663). Complete the online application before attending the walk-in. You must have an active application on the portal to be eligible for the interview.
Carry: ✅ Updated Resume (1 copy) · ✅ Government-issued ID proof (Aadhar/PAN/Passport) · ✅ 1 Passport-size photograph · ✅ TCS Application Form (downloadable from iBegin portal) · ✅ Experience and educational certificates
Reach TCS Millennium Towers, Block B, Rushikonda, Visakhapatnam by 9:00 AM. Registration closes at 1:30 PM. Dress professionally (formal attire recommended for TCS walk-ins).
TCS walk-ins typically involve: Technical Round (domain-specific — Abinitio / Java / PySpark / Snowflake) → Managerial Round → HR Discussion. Be prepared with hands-on technical knowledge, real project examples, and problem-solving scenarios for your specific technology.
🎯Interview Preparation Topics
- ETL pipeline design & optimization
- SQL joins, window functions, CTEs
- PySpark DataFrames vs RDDs
- Snowflake architecture & virtual warehouses
- Data modeling (star/snowflake/data vault)
- Ab Initio parallelism & flow concepts
- Azure Databricks cluster config & Delta Lake
- Spring Boot microservices & REST design
- OAuth2 / JWT security concepts
- Docker/Kubernetes basics
- CI/CD pipelines (Azure DevOps / Jenkins)
- Performance tuning & cost optimization
💬Frequently Asked Questions
Disclaimer: Verify at ibegin.tcsapps.com and tcs.com before attending. Never pay money for any job application.
