Description

You will design and implement end-to-end data and analytics solutions using AWS cloud services. You will translate business requirements into technical architectures and ensure scalable delivery.

Responsibilities

• Design and maintain data and analytics solutions for medium-complexity applications.
• Build AWS Proof of Concepts (POCs) to migrate legacy on-premise platforms to the cloud.
• Develop ETL pipelines, data models, data parsing workflows, and real-time data streaming solutions.
• Establish enterprise-level guidelines for data security, Master Data Management, and Reference Data Management.
• Diagnose and resolve complex performance and scaling issues to meet business initiatives.

Required Skills

• Extensive experience with AWS Data Warehouse and Data Platform services: Kinesis, Glue, Redshift, and S3.
• Hands-on experience with AWS Lambda and EC2.
• Proven track record in data modeling, ETL development, and real-time data transfer.
• Experience migrating legacy on-premise data platforms to AWS.
• Ability to define conceptual and functional data models based on business processes.
• Knowledge of data security protocols to prevent unauthorized access or modification.
• Experience working within an enterprise architecture framework and securing board approvals.
• Background in solution architecture and technical project delivery.

Preferred Skills

• Experience with emerging technologies for data management and governance.

Key Skills

Education

Any graduate