Amazon · amazon.jobs · checked today
Data Engineer, Selling Partner Trust
Skills, with evidence
- Data modelling
Experience with data modeling, warehousing and building ETL pipelines
must have - SQL
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
must have - Warehousing
Experience with data modeling, warehousing and building ETL pipelines
must have - AWS
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
must have · not practised here - Governance & security
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas.
not practised here - Streaming
-Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
- Cost & performance
-Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
- Failure handling
-Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
- Spark
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Your plan
- SQL
drills at the Mid level
- Modelling
drills at the Mid level
- Pipelines
drills at the Mid level
- Spark
drills at the Mid level
The full plan, drill by drill, is on the job page.
leaves in 12 dremoved the moment Amazon closes it