Data Engineer, Ecs Data Engineering And Analytics

Details of the offer

Data Engineer, eCS Data Engineering and AnalyticsAre you passionate about data and code?
Does the prospect of dealing with mission-critical data excite you?
Do you want to build data engineering solutions that process a broad range of business and customer data?
If so, then the eCommerce Services (eCS) team is for you!

In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality.
Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon's customers.

The goal of the eCS Data Engineering and Analytics team is to provide high quality, on-time reports to Amazon business teams, enabling them to expand globally at scale.
As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms.
You will lead the design, creation, and management of extremely large datasets working backwards from business use cases.
You will design and implement scalable ETL processes to support the rapidly growing business demand for data.

Key job responsibilities: Develop data products, infrastructure, and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda) and internal BDT tools (DataNet, Cradle, Quick Sight).Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring, and security.Develop new data models and end-to-end data pipelines.Create and implement Data Governance strategy for mitigating privacy and security risks.BASIC QUALIFICATIONS- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with SQL
- Bachelor's degree
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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Posted: December 20, 2024 (Updated about 3 hours ago)
Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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Nominal Salary: To be agreed

Source: Jobleads

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