Tcs Interview | AWS Data Engineer | Face To Face Interview | 29 Aug

Tata Consultancy Services; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services in Bangalore is seeking an experienced AWS Data Engineer to design scalable data platforms using PySpark, Databricks, and AWS. The role focuses on building robust data pipelines and enabling analytics across the enterprise.

You will work in a fast-paced Agile environment, mentor peers, and collaborate with business stakeholders to deliver high-quality data solutions for demanding industry use cases.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, PySpark, Databricks, AWS, and Kafka.
• Experience building enterprise-scale data platforms and data pipelines.
• Ability to work in a fast-paced Agile environment.

Responsibilities

• Design, develop, and implement scalable data engineering solutions using Python, PySpark, Databricks, and AWS.
• Build and optimize big data processing pipelines using Spark and Kafka.
• Develop and maintain batch and streaming data solutions.
• Lead technical design discussions and mentor team members.
• Support production platforms, troubleshoot critical issues, and drive performance improvements.
• Collaborate with business and technology stakeholders to deliver high-quality solutions.

Skills

Python

PySpark / Apache Spark

Databricks

AWS Cloud Services

SQL / Spark SQL

Apache Kafka

Airflow

Job description

TCS F2F Drive | AWS Data Engineer / Databricks / PySpark

Tata Consultancy Services (TCS) is hiring experienced professionals for exciting opportunities in Data Engineering.

Role: AWS Data Engineer / Databricks / PySpark
Location: Bangalore
Experience: 5 - 12 Years
Interview Date: 29-Aug-2026 (Saturday)
Interview Time: 9:30 AM - 1:00 PM
Mode: Face-to-Face Interview

Required Skills

Python
PySpark / Apache Spark
Databricks
AWS Cloud Services
SQL / Spark SQL
Apache Kafka
Airflow

Good to Have

Oracle / PL-SQL
Unix Shell Scripting / Autosys
PostgreSQL / NoSQL Databases
Data Modeling & Performance Tuning
API Integration & Data Streaming
Agile & GitHub
Banking / Capital Markets Domain Experience

Key Responsibilities

• Design, develop, and implement scalable data engineering solutions using Python, PySpark, Databricks, and AWS.
• Build and optimize big data processing pipelines using Spark and Kafka.
• Develop and maintain batch and streaming data solutions.
• Lead technical design discussions and mentor team members.
• Support production platforms, troubleshoot critical issues, and drive performance improvements.
• Collaborate with business and technology stakeholders to deliver high-quality solutions.

Who Should Apply?

• 5+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, PySpark, Databricks, AWS, and Kafka.
• Experience building enterprise-scale data platforms and data pipelines.
• Ability to work in a fast-paced Agile environment.