Data Engineer, Strategic Account Services

What is the Amazon Marketplace
Amazon is the largest marketplace on earth. Millions of customers shop in Amazons marketplaces globally. Every day customers browse purchase and review products sold by third-party (3P) sellers right alongside products sold by Amazon. Since 2000 Amazon welcomes companies of all sizes to offer their products helping them reach hundreds of millions of customers build their brands and grow their business.

What is Amazon Strategic Account Services (SAS)
With increasing complexity of todays eCommerce and rise of opportunities the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data-driven collaborative and customer-focused approach to achieve commercial goals of our sellers.

What is the role of a Data Engineer
As a Data Engineer youll build and maintain the robust foundations that power our data-driven organization. Youll design and implement scalable secure and efficient data architectures with a strong focus on data quality and governance. Working with technologies in cloud computing and big data youll create reliable data pipelines and establish data standards that ensure the integrity and accessibility of our data products. Your focus on building maintainable solutions and establishing strong data governance frameworks will create the trusted data foundation that enables advanced analytics and machine learning capabilities across our organization

Key job responsibilities
The candidate for this role will be required to:

Design and implement complex data pipelines and models
Develop new data processing patterns and frameworks
Drive end-to-end delivery of scalable data solutions
Optimize performance and reliability of data infrastructure
Lead technical design and implementation
Create robust data quality and monitoring solutions
Mentor junior team members in data engineering

- Bachelors degree
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with big data technologies such as: Hadoop Hive Spark EMR

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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