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.
- Solid 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.

📌 AWS Data Engineer (India)
🏢 The Growth Hive
📍 India