We are looking for an experienced Python Data Engineer with strong expertise in PySpark/Spark SQL, AWS cloud services, ETL/ELT pipelines, and serverless data architectures. The ideal candidate will have hands-on experience building scalable data pipelines, designing robust data models, and developing cloud-native data solutions on AWS. The role requires close collaboration with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data platforms.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Python, PySpark, and Spark SQL.

- Build and optimize ETL/ELT workflows for structured and semi-structured data.

- Develop cloud-native data solutions using AWS data services.

- Design and implement serverless architectures leveraging AWS services.





- Create and maintain effective data models to support reporting, analytics, and downstream applications.

- Optimize Spark jobs for performance, scalability, and cost efficiency.

- Ensure data quality, reliability, and governance across data pipelines.

- Develop reusable, modular, and well-documented code following software engineering best practices.

- Write unit and integration tests using pytest or unittest.

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

- Participate in code reviews, CI/CD implementation, and production suppo

📌 Excellent Opportunity For Python Data Engineer (Bengaluru)
🏢 Nous Infosystems
📍 Bengaluru