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.
Solid 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 workplace.
📌 Tcs Interview Aws Data Engineer Face To Face Interview 29 Aug Bengaluru (India)
🏢 Tata Consultancy Services
📍 India
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