Description

Key Skills: SQL, AWS, Data Engineering, ETL, Data Infrastructure, Amazon Web Services, Big Data Technologies, Data Analytics, System Design, Automation

Good to Have Skills: Experience with case management systems, data platform implementation, data access control mechanisms, cost optimization, operational excellence practices, and working in fast-paced collaborative environments with enterprise customers.

Roles & Responsibilities:

• Design and implement automation solutions to manage massive data infrastructure for analytics needs of case management systems.
• Build comprehensive solutions to achieve Best At Amazon standards for system efficiency, data availability, consistency and compliance.
• Enable efficient data exploration and experimentation of large datasets while implementing robust data access control mechanisms.
• Design and implement scalable and cost effective data infrastructure to enable emerging marketplaces and worldwide use cases.
• Interface with technology teams to extract, transform, and load data from various sources using advanced technologies.
• Drive operational excellence within the team by building automation and mechanisms to reduce manual operations.
• Contribute to all parts of data engineering lifecycle including design, development, documentation, testing and maintenance.
• Collaborate closely with accomplished engineers in building data infrastructure that powers over 200 business teams.

Experience Required: Experience in data engineering, strong technical leadership capabilities, and ability to deliver high quality results in fast-paced environments with excellent verbal and written communication skills

Key Skills

Education

Any Graduate