- Lead the design, development, and deployment of scalable data engineering solutions on AWS.

- Develop and optimize ETL/ELT pipelines using PySpark for large-scale data processing.

- Write complex SQL queries, stored procedures, and performance tuning for data warehouses.

- Build and manage data lakes using Amazon S3 with secure and productive data storage practices.

- Automate cloud infrastructure provisioning using Terraform following Infrastructure as Code (IaC) principles.

- Design, implement, and optimize AWS-based data architectures for high availability and scalability.

- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.

- Monitor, troubleshoot, and optimize data pipelines and cloud infrastructure performance.

- Implement security, governance, and best practices across AWS services and data platforms.

- Mentor junior engineers, conduct code reviews, and ensure adherence to coding standards.

- Work with CI/CD pipelines and version control tools to support automated deployments.

- Strong understanding of AWS services, PySpark, SQL, S3, Terraform, and data engineering best practices with excellent problem-solving and leadership skills.

📌 Aws Lead (Chennai)
🏢 RandomTrees
📍 Chennai