Data Engineer II, MIDAS, Digital Acceleration
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
Amazon Digital Acceleration is seeking a Data Engineer II to develop foundational analytical datasets. The role involves leveraging AWS services and internal tools to build and improve data products, infrastructure, and pipelines, partnering with various technical teams to drive operational excellence.
Responsibilities
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.).
- Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
- Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations.
Requirements
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Desired Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
#Data Engineering#Analytics#AWS
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Chennai, India
Applicants
Be an early applicant