Our team is passionate about Sellers on Amazon - we help them grow their businesses and serve their customers. How do we do this Data! Help us better serve Sellers so they can run their businesses more effectively.
Were seeking an innovative Data Engineer to join our team to transform how Amazons NA Seller Success Business leverages data for strategic decision-making. From Day 1 youll own critical data infrastructure that powers insights for 900 stakeholders. This role offers the autonomy to architect solutions make technical decisions and drive significant impact on Amazons seller ecosystem through data-driven innovations.
Strategic Impact: Youll establish and own key data frameworks that enable business insights across our NA Seller marketplace driving standardization and reliability in how we deliver critical analytics to our stakeholder community. Youll be at the forefront of building data solutions that directly impact the success of our global seller community and business stakeholders.
In the role you will work closely with scientists product managers and BIEs to build out infrastructure data pipelines and reporting mechanisms for our team.
Key job responsibilities Our Data Engineer duties & responsibilities will include: Design build and maintain data & analytics infrastructure for NASBP including review of tech stack and data landscape Drive adoption of data best practices across multiple teams Manage AWS resources (EC2 EMR S3 Glue Redshift) Design and build ETL pipelines own OE initiatives cluster migrations and dashboard development Define and maintain data governance protocols that balance speed with quality Explore and implement latest AWS technologies for enhanced capabilities Support BIEs in adopting best practices for ETLs pipelines testing and documentation Work with stakeholders and business leaders to translate business needs into scalable data solutions Create scalable future-proof solutions for our growing analytics needs
- 5 years of data engineering experience - Experience with big data technologies such as: Hadoop Hive Spark EMR - Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 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)
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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