**Job Title:** Data Engineer
We are excited to further evolve our data products to make them AI ready.
The Finance Automation team at Amazon is looking for a Data Engineer to play a key role in building the next generation Financial data warehouse.
The ideal candidate will be passionate about building next-generation extremely large, scalable, and fast distributed systems on the AWS stack.
They will want to be part of a team that has accepted the goal to democratize access to data and enable data-driven innovations for the entire Finance business in Amazon.
Responsibilities:
* Build next-generation extremely large, scalable, and fast distributed systems on the AWS stack
* Design and operate very large Data Warehouses
* Develop strong data modeling skills with solid knowledge of various industry standards such as dimensional modeling, star schemas, etc.
* Experience designing and operating very large Data Warehouses
* Excellent written and verbal communication skills are required as the candidate will work very closely with diverse teams and senior leadership
Requirements:
* Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using traditional or map reduce batch mechanisms
* Strong data modeling skills with solid knowledge of various industry standards such as dimensional modeling, star schemas, etc.
* Extremely proficient in writing performant SQL working with large data volumes
* 3+ years of data engineering experience
* 4+ years of SQL experience
BASIC QUALIFICATIONS
* 3+ years of data engineering experience
* 4+ years of SQL experience
* Experience with data modeling, warehousing, and building ETL pipelines
PREFERRED 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)
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