Description

You will lead the design and implementation of cloud-based data solutions within an AWS environment.

This role is hybrid.

Responsibilities

• Lead the design and implementation of cloud-based solutions using AWS Glue Databrew, Amazon RDS, and related AWS services.
• Oversee the development and maintenance of data pipelines and ETL processes using AWS Glue ETL and AWS Glue Studio.
• Manage and optimize databases using Amazon RDS and Amazon DynamoDB.
• Monitor cloud infrastructure performance and reliability using AWS CloudWatch.
• Implement security protocols and access controls using AWS IAM and manage scalable storage via Amazon S3.

Required Skills

• 12 to 14 years of experience in Data Engineering.
• Extensive expertise in Python and Apache Spark.
• Hands-on experience with AWS Glue Databrew, AWS Glue Studio, and AWS Glue ETL.
• Proficiency with Amazon RDS and Amazon DynamoDB.
• Experience managing Amazon S3 storage.
• Operational knowledge of AWS CloudWatch and AWS IAM.
• AWS Certified Solutions Architect or AWS Certified Developer certification.
• Python Certification.

Preferred Skills

• Experience in Payment Management, Disbursement Management, Bill Plan Development, or Bill & Commission Calculation.

Key Skills

Education

Any Gradute