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

📌 Aws Lead Chennai (India)
🏢 RandomTrees
📍 India