Role Overview :

Design, develop, and maintain scalable AWS-based data pipelines. Build and optimize ETL/ELT workflows for large-scale data processing. Develop cloud-native data solutions using AWS services.

Key Responsibilities :

- Work with structured and unstructured datasets from multiple sources.

- Collaborate with business stakeholders and cross-functional teams.

- Optimize data pipelines for performance, scalability, and cost.

- Implement data quality, governance, and security best practices.

- Participate in code reviews and mentor junior engineers.

- Support CI/CD implementation and Agile delivery practices.

- Work closely with global/US-based clients to deliver enterprise data solutions.

Tech Stack & Requirements :

- 9+ years of Data Engineering experience.

- Strong expertise in AWS Cloud services.

- Hands-on experience with Python, SQL, and PySpark.

- Experience with ETL/Data Pipeline development.

- Knowledge of Data Lakes and Data Warehousing.

- CI/CD, Git, and Agile methodologies.

- Excellent communication and stakeholder management skills.

- Experience working with US-based clients is preferred.