Data Engineer-I, SmartCommerce

Amazon strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want low prices vast selection and convenience Amazon continues to grow and evolve as a world-class e-commerce platform.
Do you have solid analytical thinking metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need Then SmartCommerce is the team for you. We are looking for top notch Data Engineers to be part of our analytics team.

The ideal candidate will be curious have attention to detail be energized by challenging entrepreneurial environment be comfortable thinking big while also diving deep. Are you a smart hungry flexible and world-class data engineer excited by the challenge of launching a new business initiative for Amazon
SmartCommerce team is looking for Data Engineers to be part of a new team being built from the ground up. They will be primarily working on our product SmartBiz. SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs. Whether a small business an entrepreneur or a neighborhood store a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online.


Key job responsibilities
for designing building and maintaining complex data solutions for Amazons SmartCommerce businesses
participates in the code review process design discussions team planning operational excellence and constructively identifies problems and proposes solutions
appropriate trade-offs re-use where possible and is judicious about introducing dependencies
efficient use of resources (e.g. system hardware data storage query optimization AWS infrastructure etc.)
correct questions when data model and requirements are not well defined and comes up with designs which are scalable maintainable and efficient
enhancements that improve teams data architecture making it better and easier to maintain (e.g. data auditing solutions automating ad-hoc or manual operation steps)
the data quality of important datasets and any new changes/enhancements


- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Bachelors degree

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience writing and optimizing SQL queries with large-scale complex datasets
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

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