1. Create, implement and maintain ETL/ELT data pipeline architecture in the cloud.
2. Understand and associate large/complex data entities with data mappings.
3. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data relatedtechnical issues and support their data infrastructure needs.
4. Work with infrastructure/technical architects to deliver cost-effective and performance-centric cloud applications.
5. Recognize and adopt best practices in data reporting and analysis: data integrity, test design,analysis, validation, and documentation.
6. Keep up to date with advances in big data technologies and run pilots to design the data architectureto scale with the increased data volume using AWS
Required Candidate profile1. Create, implement and maintain ETL/ELT data pipeline architecture in the cloud.
2. Understand and associate large/complex data entities with data mappings.
3. Work with stakeholders including the Executive, Product, Data and Design teams to assist with datarelated
technical issues and support their data infrastructure needs.
4. Work with infrastructure/technical architects to deliver cost-effective and performance-centric cloud
applications.
5. Recognize and adopt best practices in data reporting and analysis: data integrity, test design,
analysis, validation, and documentation.
6. Keep up to date with advances in big data technologies and run pilots to design the data architecture
to scale with the increased data volume using AWS