Description

You will design, develop, and manage scalable, secure AWS cloud infrastructure and data engineering pipelines for enterprise-grade solutions.

Responsibilities

• Implement and optimize real-time data processing workflows using Python, PySpark, and Spark-SQL.
• Build intelligent, self-service data platforms using AWS Glue, Lambda, S3, VPC, EC2, and IAM.
• Manage CI/CD pipelines and cloud operations via GitHub, GitLab, Jenkins, AWS Systems Manager, and Secrets Manager.
• Ensure high availability through disaster recovery solutions, load balancing strategies, and secure cloud-native data integrations.

Required Skills

• 6+ years of IT experience with a strong focus on AWS cloud infrastructure.
• Advanced proficiency in Python, PySpark, and Spark-SQL for scalable data engineering.
• Hands-on experience with AWS services: Glue, Lambda, S3, VPC, EC2, IAM, Oracle RDS, Blob Storage, and Cosmos DB.
• Solid understanding of version control (GitHub/GitLab) and CI/CD processes (Jenkins).
• Experience with cloud security tools including AWS Systems Manager and Secrets Manager.
• Expertise in disaster recovery planning, performance tuning, and load balancing.

Preferred Skills

• Experience building governance frameworks for data platforms.
• Knowledge of BI integrations with complex data workflows.

Key Skills

Education

Any Graduate