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.
📌 Tcs Interview | AWS Data Engineer | Face To Face Interview | 29 Aug (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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